Packt Publishing, 2014. — 102 p. — ISBN: 178328109X, 9781783281091 Perform group-wise data manipulation and deal with large datasets using R efficiently and effectively Overview Perform factor manipulation and string processing Learn group-wise data manipulation using plyr Handle large datasets, interact with database software, and manipulate data using sqldf In Detail One of...
2nd Edition. — Packt Publishing, 2015. — 130 p. Efficiently perform data manipulation using the split-apply-combine strategy in R Data Manipulation with R, 2nd Edition QR code - Data Manipulation with R, 2nd Edition Book Description This book starts with the installation of R and how to go about using R and its libraries. We then discuss the mode of R objects and its classes...
Packt Publishing, 2017. — 236 p. — ASIN B071VFZFN3. Key Features Develop strategies to speed up your R code Tackle programming problems and explore both functional and object-oriented programming techniques Learn how to address the core problems of programming in R with the most popular R packages for common tasks Book Description R is a powerful tool for statistics, graphics,...
Packt Publishing, 2017. — 236 p. — ASIN B071VFZFN3. Key Features Develop strategies to speed up your R code Tackle programming problems and explore both functional and object-oriented programming techniques Learn how to address the core problems of programming in R with the most popular R packages for common tasks Book Description R is a powerful tool for statistics, graphics,...
Packt Publishing, 2017. — 236 p. — ASIN B071VFZFN3. Key Features Develop strategies to speed up your R code Tackle programming problems and explore both functional and object-oriented programming techniques Learn how to address the core problems of programming in R with the most popular R packages for common tasks Book Description R is a powerful tool for statistics, graphics,...
McGraw-Hill Education (India), 2018. — 579 p. — ISBN13: 978-93-5260-524-8. This book is aimed at undergraduate students of computer science and engineering. The book will be useful companion for IT professionals to data analysts and decision makers responsible for driving strategic initiatives and management graduates and business analysts, engaged in self-study. This book by...
CreateSpace Independent Publishing Platform, 2016. — 288 p. — ISBN: 1508593213, 9781508593218 Learning a programming language is not an easy work. It requires time, money and desire. You must search an academy or a teacher, achieve coordination with them, or worse, adapt your own time to their class times. You also have to pay the high fees, month to month, and what is even more...
2nd edition. — O’Reilly Media, 2012. — 724 p. — ISBN: 144931208X, 9781449312084. If you’re considering R for statistical computing and data visualization, this book provides a quick and practical guide to just about everything you can do with the open source R language and software environment. You’ll learn how to write R functions and use R packages to help you prepare,...
O’Reilly Media, 2009. — 640 p. — ISBN 059680170X. "I am excited about this book. R in a Nutshell is a great introduction to R, as well as a comprehensive reference for using R in data analytics and visualization. Adler provides 'real world' examples, practical advice, and scripts, making it accessible to anyone working with data, not just professional statisticians." Martin...
Wiley, 2015. — 472 p. — (Wiley Series in Probability and Statistics). — ISBN: 9781118730034. A valuable overview of the most important ideas and results in statistical modeling. Written by a highly-experienced author, Foundations of Linear and Generalized Linear Models is a clear and comprehensive guide to the key concepts and results of linearstatistical models. The book...
CRC Press, 2014. — 598 p. — ISBN: 1439873380, EISBN: 9781439873397 Full of biological applications, exercises, and interactive graphical examples, Foundational and Applied Statistics for Biologists Using R presents comprehensive coverage of both modern analytical methods and statistical foundations. The author harnesses the inherent properties of the R environment to enable...
CRC Press, 2014. — 254 p. — ISBN: 1439890471, 9781439890479. Stated Preference Methods Using R explains how to use stated preference (SP) methods, which are a family of survey methods, to measure people’s preferences based on decision making in hypothetical choice situations. Along with giving introductory explanations of the methods, the book collates information on existing R...
Morgan & Claypool Publishers, 2019. — 236 p. — ISBN: 9781681735092. Introduction to Statistics Using R is organized into 13 major chapters. Each chapter is broken down into many digestible subsections in order to explore the objectives of the book. There are many real-life practical examples in this book and each of the examples is written in R codes to acquaint the readers...
De Gruyter, 2019. — 274 p. — ISBN: 9781547417469. Business Statistics Using R covers a wide range of applications of statistics in solving business related problems. It will introduce readers to quantitative tools that are necessary for daily business needs and help them to make evidence-based decisions. The book provides an insight on how to summarize data, analyze it, and...
CRC, 2009. — 308 p. — ISBN 0387922970. There has been a dramatic growth in the development and application of Bayesian inferential methods. Some of this growth is due to the availability of powerful simulation-based algorithms to summarize posterior distributions. There has been also a growing interest in the use of the system R for statistical analyses. R's open source nature,...
Springer, 2012. — 374 p. — (Use R!). — ISBN: 1461413648, 9781461413653. R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. R functions are presented in the context of interesting applications with real data. The purpose of this book is to illustrate a range of...
2nd Edition. — Springer Cham, 2024. — 454 p. — (Use R!). — eBook ISBN 978-3-031-76074-7. Introduces the R system, their capabilities required to perform basic numerical and graphical summaries of data. Introduces using R for simulation including Monte Carlo experiments and Bayesian computation. Features a new chapter on data frames, as well as new coverage on data mining,...
2nd Edition. — Springer Cham, 2024. — 454 p. — (Use R!). — eBook ISBN 978-3-031-76074-7. Introduces the R system, their capabilities required to perform basic numerical and graphical summaries of data. Introduces using R for simulation including Monte Carlo experiments and Bayesian computation. Features a new chapter on data frames, as well as new coverage on data mining,...
Springer, 2011. — 92 p. — (Springer Briefs in Statistics). — ISBN 3642179797. This Brief provides a roadmap for the R language and programming environment with signposts to further resources and documentation.
University of Cambridge, Statistical Laboratory, 2012. – 114 p. – ISBN: N/A These worksheets may be used for any educational purpose provided their authorship (P.M.E.Altham) is acknowledged. Getting started: books and 2 tiny examples Ways of reading in data, tables, text, matrices. Linear regression and basic plotting A Fun example showing you some plotting and regression...
CreateSpace Independent Publishing, 2016. — 154 p. — ISBN: 1533685010. Learn R Programming Today With This Simple Step-By-Step, Ultimate Beginners Guide 2017! Updated & Improved: June 2017 Do you want to learn R Programming? Do you want a guide that is easy to follow, detailed and written to make the process as effortless as possible? If so, “R: Easy R Programming For...
CreateSpace Independent Publishing, 2016. — 154 p. — ISBN: 1533685010. Learn R Programming Today With This Simple Step-By-Step, Ultimate Beginners Guide 2017! Updated & Improved: June 2017 Do you want to learn R Programming? Do you want a guide that is easy to follow, detailed and written to make the process as effortless as possible? If so, “R: Easy R Programming For...
CreateSpace Independent Publishing, 2016. — 154 p. — ISBN: 1533685010. Learn R Programming Today With This Simple Step-By-Step, Ultimate Beginners Guide 2017! Updated & Improved: June 2017 Do you want to learn R Programming? Do you want a guide that is easy to follow, detailed and written to make the process as effortless as possible? If so, “R: Easy R Programming For...
CreateSpace Independent Publishing, 2016. — 154 p. — ISBN: 1533685010. Learn R Programming Today With This Simple Step-By-Step, Ultimate Beginners Guide 2017! Updated & Improved: June 2017 Do you want to learn R Programming? Do you want a guide that is easy to follow, detailed and written to make the process as effortless as possible? If so, “R: Easy R Programming For...
The Rasch family of models considered in this paper includes models for polytomous items and multiple correlated latent traits, as well as for dichotomous items and a single latent variable. An R package is described that computes estimates of parameters and robust standard errors of a class of log-linear-by-linear association (LLLA) models, which are derived from a Rasch family...
CRC Press, 2022. — 299 p. This book covers using R for doing optimization, a key area of operations research, which has been applied to virtually every industry. The focus is on linear and mixed integer optimization. It uses an algebraic modeling approach for creating formulations that pairs naturally with an algebraic implementation in R. With the rapid rise of interest in...
SAGE Publications Ltd, 2021. — 640 p. — ISBN 978-1-5264-8676-9. his approachable introduction to doing data science in R provides step-by-step advice on using the tools and statistical methods to carry out data analysis. Introducing the fundamentals of data science and R before moving into more advanced topics like Multilevel Models and Probabilistic Modelling with Stan, it...
Manual. — Babraham Bioinformatics, 2017. — 36 p. In this course we extend these initial skills by looking at some more complex, but still core, R operations. We also look at how to combine the pieces of functionality you already know to solve more complex problems by constructing more complex compound statements. We start by reviewing the core data structures and looks at how...
2nd.ed. - Springer, 2021. - 476p. - ISBN: 3030641546 This advanced undergraduate/graduate textbook teaches students in finance and economics how to use R to analyse financial data and implement financial models. It demonstrates how to take publically available data and manipulate, implement models and generate outputs typical for particular analyses. A wide spectrum of timely...
2nd.ed. - Springer, 2021. - 476p. - ISBN: 3030641546 This advanced undergraduate/graduate textbook teaches students in finance and economics how to use R to analyse financial data and implement financial models. It demonstrates how to take publically available data and manipulate, implement models and generate outputs typical for particular analyses. A wide spectrum of timely...
Springer, 2015. — 350 p. — ISBN: 9783319140742, 9783319140759
This book is a comprehensive introduction to financial modeling that teaches advanced undergraduate and graduate students in finance and economics how to use R to analyze financial data and implement financial models. This text will show students how to obtain publicly available data, manipulate such data, implement...
2nd edition. — Springer, 2021. — 476 p. — ISBN 978-3-030-64154-2. This advanced undergraduate/graduate textbook teaches students in finance and economics how to use R to analyse financial data and implement financial models. It demonstrates how to take publically available data and manipulate, implement models and generate outputs typical for particular analyses. A wide...
2nd edition. — Springer, 2021. — 476 p. — ISBN 978-3-030-64154-2. This advanced undergraduate/graduate textbook teaches students in finance and economics how to use R to analyse financial data and implement financial models. It demonstrates how to take publically available data and manipulate, implement models and generate outputs typical for particular analyses. A wide...
Leanpub, 2017. — 525 p. — ISBN: N\A. Learn the R language as a child would: Do not struggle, just play! If going gets difficult and frustrating, take a break! If you get a new insight, take abreak to enjoy the victory! This book covers different aspects of the use of the R language plus the languages behind some R packages, including the “grammar of graphics” implemented in...
Leanpub, 2017. — 525 p. — ISBN: N\A. Learn the R language as a child would: Do not struggle, just play! If going gets difficult and frustrating, take a break! If you get a new insight, take abreak to enjoy the victory! This book covers different aspects of the use of the R language plus the languages behind some R packages, including the “grammar of graphics” implemented in...
CRC, 2020. — 364 p. — ISBN: 9780367182557. Learning a computer language like R can be either frustrating, fun, or boring. Having fun requires challenges that wake up the learner’s curiosity but also provide an emotional reward on overcoming them. This book is designed so that it includes smaller and bigger challenges, in what I call playgrounds, in the hope that all readers...
CRC, 2020. - 364p. - ISBN: 9780367182557 Learning a computer language like R can be either frustrating, fun, or boring. Having fun requires challenges that wake up the learner’s curiosity but also provide an emotional reward on overcoming them. This book is designed so that it includes smaller and bigger challenges, in what I call playgrounds, in the hope that all readers will...
2nd. ed. - Boca Raton: CRC Press, 2024. - 465 p. - (Chapman & Hall/CRC The R Series). - ISBN 1032516992. Learning a computer language like R can be either frustrating, fun or boring . Having fun requires challenges that wake up the learner’s curiosity but also provide an emotional reward for overcoming them. The book is designed so that it includes smaller and bigger challenges...
Leanpub, 2023. — 388 p. Photobiology is the branch of science that studies the interactions of living organisms with visible and ultraviolet radiation. This book first presents the theory behind calculations related to research in photobiology and describes how to use R as a tool for carrying out these calculations. This handbook describes how to use R as a tool for doing...
Stockholm University, 2009. — 33 p. This is a brief manual for beginners in Econometrics. About R. About these pages. Objects and Files. First things . Installation. Working with R. Naming in R. Saving and loading objects and images of working spaces. Overall options. Getting Help. Elementary commands . Data management . Reading data in plain text format. Non-available and...
Mokken scale analysis (MSA) is a scaling procedure for both dichotomous and polytomous items. It consists of an item selection algorithm to partition a set of items into Mokken scales and several methods to check the assumptions of two nonparametric item response theory models: the monotone homogeneity model and the double monotonicity model. First, we present an R package mokken...
CRC Press, 2014. — 352 p. — (Statistics for the Social and Behavioral Sciences Series). — ISBN: 1466517158, 9781466517165. Modern Methods for Evaluating Your Social Science Data. With recent advances in computing power and the widespread availability of political choice data, such as legislative roll call and public opinion survey data, the empirical estimation of spatial...
Springer, 2015. — 211 p. — ISBN: 3319207016, 9783319207018
This pioneering book teaches readers to use R within four core analytical areas applicable to the Humanities: networks, text, geospatial data, and images. This book is also designed to be a bridge: between quantitative and qualitative methods, individual and collaborative work, and the humanities and social sciences....
2nd Edition: Springer, 2024. — 287 p. — (Quantitative Methods in the Humanities and Social Sciences). — ISBN 978-3-031-62565-7. This book teaches readers to integrate data analysis techniques into humanities research practices using the R programming language. Methods for general-purpose visualization and analysis are introduced first, followed by domain-specific techniques for...
Atlantis Press, 2014. — 301 p. — (Atlantis Studies in Computational Finance and Financial Engineering). — ISBN: 946239069X, 9789462390690
The book covers a wide range of topics, yet essential, in Computational Finance (CF), understood as a mix of Finance, Computational Statistics, and Mathematics of Finance. In that regard it is unique in its kind, for it touches upon the basic...
Amazon.com Services LLC, 2020. — 94 p. — ISBN: N\A. This book offers the reader with basic concepts in R programming for time series forecasting. The tools covered are Simple Moving Average (SMA), Exponential Moving Average (EMA), HoltWinter’s model, Auto Regressive Integrated Moving Average (ARIMA), SARIMA (Seasonal ARIMA), and Dynamic Regression or ARIMAX. The residuals...
Springer Singapore, 2023. — 292 p. — ISBN 978-981-99-2885-9. Provides useful exercises and practice problems at the end of each chapter. Features with numbering of each R code line in boxes with comments. Presents a useful list of R packages and functions, grouped in different sections. R Language: Introduction Obtaining and Installing R Language Using R as a Calculator Data...
Springer, 2023. — 299 p. — ISBN 9819928850. This book is designed to provide a comprehensive introduction to R programming for data analysis, manipulation and presentation. It covers fundamental data structures such as vectors, matrices, arrays and lists, along with techniques for exploratory data analysis, data transformation and manipulation. The book explains basic...
Oxford University Press, 2015. — 272 p. — ISBN: 0190228083, 9780190228088 There is a growing need for research within practice settings. Increasing competition for funding requires organizations to demonstrate that the funding they are seeking is going towards effective programming. Additionally, the evidence-based practice movement is generally pushing organizations towards...
2nd.ed. - Oxford Press, 2022. - 225p. - ISBN: 0197582753 Single-subject research designs have been used to build evidence to the effective treatment of problems across various disciplines including social work, psychology, psychiatry, medicine, allied health fields, juvenile justice, and special education. SSD for R serves as a guide for those desiring to conduct single-subject...
2nd.ed. - Oxford Press, 2022. - 225p. - ISBN: 0197582753 Single-subject research designs have been used to build evidence to the effective treatment of problems across various disciplines including social work, psychology, psychiatry, medicine, allied health fields, juvenile justice, and special education. SSD for R serves as a guide for those desiring to conduct single-subject...
Oxford: Oxford University Press, 2014. — 170 p. Introduction: Single-Subject Research Designs in the Social and Health Sciences Getting your Data into SSD for R Overview of SSD for R Functions Analyzing Baseline Phase Data Comparing Baseline and Intervention Phases: Visualizing Your Findings and Descriptive Statistics Statistical Tests of Type I Error Analyzing Group Data...
Cambridge University Press, 2014. — 272 p. — ISBN: 9781107029279 Interest in the skew-normal and related families of distributions has grown enormously over recent years, as theory has advanced, challenges of data have grown, and computational tools have made substantial progress. This comprehensive treatment, blending theory and practice, will be the standard resource for...
232 pages
This is a detailed set of notes for a workshop on Analysing spatial point patterns in R, presented by the author in Australia and New Zealand since 2006.
The goal of the workshop is to equip researchers with a range of practical techniques for the statistical analysis of spatial point patterns. Some of the techniques are well established in the applications literature,...
New York: Springer, 2017. — 173 p. This graduate-level textbook is a tutorial for item response theory that covers both the basics of item response theory and the use of R for preparing graphical presentation in writings about the theory. Item response theory has become one of the most powerful tools used in test construction, yet one of the barriers to learning and applying it is...
Packt Publishing, 2016. — 416 p. — ISBN: 1784390844, 9781784390846 Data science and machine learning are some of the top buzzwords in the technical world today. From retail stores to Fortune 500 companies, everyone is working hard to making machine learning give them data-driven insights to grow their business. With powerful data manipulation features, machine learning packages,...
Packt Publishing, 2016. — 416 p. — ISBN: 1784390844, 9781784390846 Data science and machine learning are some of the top buzzwords in the technical world today. From retail stores to Fortune 500 companies, everyone is working hard to making machine learning give them data-driven insights to grow their business. With powerful data manipulation features, machine learning packages,...
Packt Publishing, 2016. — 1123 p. — ISBN: 9781787127340, ASIN: B01MQ4M4VO Build your confidence with R and find out how to solve a huge range of data-related problems Get to grips with some of the most important machine learning techniques being used by data scientists and analysts across industries today Don't just learn – apply your knowledge by following featured practical...
Packt Publishing, 2016. — 1123 p. — ISBN: 9781787127340, ASIN: B01MQ4M4VO Build your confidence with R and find out how to solve a huge range of data-related problems Get to grips with some of the most important machine learning techniques being used by data scientists and analysts across industries today Don't just learn – apply your knowledge by following featured practical...
Packt Publishing, 2017. — 413 p. — ISBN: 978-1787127524. The Internet has truly become humongous, especially with the rise of various forms of social media in the last decade, which give users a platform to express themselves and also communicate and collaborate with each other. This book will help the reader to understand the current social media landscape and to learn how...
Packt Publishing, 2017. — 413 p. — ISBN: 978-1787127524. The Internet has truly become humongous, especially with the rise of various forms of social media in the last decade, which give users a platform to express themselves and also communicate and collaborate with each other. This book will help the reader to understand the current social media landscape and to learn how...
Packt Publishing, 2017. — 413 p. — ISBN: 978-1787127524. The Internet has truly become humongous, especially with the rise of various forms of social media in the last decade, which give users a platform to express themselves and also communicate and collaborate with each other. This book will help the reader to understand the current social media landscape and to learn how...
Packt, 2016. — 340 p. — ISBN: 978-1-78439-084-6. Get to grips with the concepts of machine learning through exciting real-world examples Visualize and solve complex problems by using power-packed R constructs and its robust packages for machine learning Learn to build your own machine learning system with this example-based practical guide Who This Book Is For If you are...
Apress, 2013. — 206 p. — ISBN: 1430258063, 9781430258063 Pro Data Visualization using R and JavaScript makes the R language approachable, and promotes the idea of data gathering and analysis. You'll see how to use R to interrogate and analyze your data, and then use the D3 JavaScript library to format and display that data in an elegant, informative, and interactive way. You...
Barker T. Pro Data Visualization using R and JavaScript Apress, 2013. — 206 p. — ISBN: 1430258063, 9781430258063 Pro Data Visualization using R and JavaScript makes the R language approachable, and promotes the idea of data gathering and analysis. You'll see how to use R to interrogate and analyze your data, and then use the D3 JavaScript library to format and display that data...
2nd Edition. — Apress Media LLC, 2022. — 278 p. — ISBN-13: 978-1-4842-7201-5. Use R 4, RStudio, Tidyverse, and Shiny to interrogate and analyze your data, and then use the D3 JavaScript library to format and display that data in an elegant, informative, and interactive way. You will learn how to gather data effectively, and also how to understand the philosophy and...
2nd Edition. — Apress Media LLC, 2022. — 278 p. — ISBN-13: 978-1-4842-7201-5. Use R 4, RStudio, Tidyverse, and Shiny to interrogate and analyze your data, and then use the D3 JavaScript library to format and display that data in an elegant, informative, and interactive way. You will learn how to gather data effectively, and also how to understand the philosophy and...
2nd Edition. — Apress Media LLC, 2022. — 278 p. — ISBN-13: 978-1-4842-7201-5. Use R 4, RStudio, Tidyverse, and Shiny to interrogate and analyze your data, and then use the D3 JavaScript library to format and display that data in an elegant, informative, and interactive way. You will learn how to gather data effectively, and also how to understand the philosophy and...
2nd Edition. — Apress Media LLC, 2022. — 278 p. — ISBN-13: 978-1-4842-7201-5. Use R 4, RStudio, Tidyverse, and Shiny to interrogate and analyze your data, and then use the D3 JavaScript library to format and display that data in an elegant, informative, and interactive way. You will learn how to gather data effectively, and also how to understand the philosophy and...
CRC Press, 2015 2016. — 325 p. — ISBN: 9781466568495 Statistical Analysis of Questionnaires: A Unified Approach Based on R and Stata presents special statistical methods for analyzing data collected by questionnaires. The book takes an applied approach to testing and measurement tasks, mirroring the growing use of statistical methods and software in education, psychology,...
Singapore: World Scientific Publishing Company, 2024. - 463 p. - ISBN 9811293775. The fields of mathematical statistics, statistical graphics, computer science and operations research have created the rich set of methods now called Analytics . Often analytics is characterized along three poles: descriptive analytics (what do data tell us), predictive analytics (what can be...
Wiley, 2008. — 664 p. — ISBN: 0471696935, 9780471696933 Now updated in a valuable new edition—this user–friendly book focuses on understanding the "why" of mathematical statistics Probability and Statistical Inference, Second Edition introduces key probability and statis–tical concepts through non–trivial, real–world examples and promotes the developmentof intuition rather than...
CRC, 2017. — 582 p. — ISBN: 978-1-4987-2448-7. Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world problems with data. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programming in the state-of-the-art...
Routledge, 2014. — 218 p. — ISBN: 1848726996, 9781848726994
This step-by-step guide is written for R and latent variable model (LVM) novices. Utilizing a path model approach and focusing on the lavaan package, this book is designed to help readers quickly understand LVMs and their analysis in R. The author reviews the reasoning behind the syntax selected and provides examples...
O’Reilly Media, Inc., 2024. — 122 p. — ISBN 978-1-098-15124-9. Tidying up messy software is a must. And that means breaking up the code to make it more readable, and using guard clauses and helping functions to make it understandable. In this practical guide, author Kent Beck, creator of Extreme Programming and pioneer of software patterns, suggests when and where you might...
O’Reilly Media, Inc., 2024. — 122 p. — ISBN 978-1-098-15124-9. Tidying up messy software is a must. And that means breaking up the code to make it more readable, and using guard clauses and helping functions to make it understandable. In this practical guide, author Kent Beck, creator of Extreme Programming and pioneer of software patterns, suggests when and where you might...
O’Reilly Media, Inc., 2024. — 122 p. — ISBN 978-1-098-15124-9. Tidying up messy software is a must. And that means breaking up the code to make it more readable, and using guard clauses and helping functions to make it understandable. In this practical guide, author Kent Beck, creator of Extreme Programming and pioneer of software patterns, suggests when and where you might...
O’Reilly Media, Inc., 2024. — 98 p. — ISBN 978-1-098-15124-9. Tidying up messy software is a must. And that means breaking up the code to make it more readable, and using guard clauses and helping functions to make it understandable. In this practical guide, author Kent Beck, creator of Extreme Programming and pioneer of software patterns, suggests when and where you might...
CRC Press, 2018. — 721 p. — (CRC revivals). — ISBN: 9781351074988, 1351074989, 0412741504, 9781315895888. The combination of interactive computing and graphics in S provides a powerful environment for understanding data. Plots can be used to look at data in a variety of ways and also to study the results of analyses, such as the fitting of models and various statistical...
Oxford University Press, 2012. — 160 p. — ISBN: 0199601615, 0199601623, 9780199601615
Learning how to get answers from data is an integral part of modern training in the natural, physical, social, and engineering sciences. One of the most exciting changes in data management and analysis during the last decade has been the growth of open source software. The open source...
2nd ed. — Oxford University Press, 2017. — 251 p. — ISBN10: 0198787847. — ISBN13: 978-0198787846. R is rapidly becoming the standard software for statistical analyses, graphical presentation of data, and programming in the natural, physical, social, and engineering sciences. Getting Started with R is now the go-to introductory guide for biologists wanting to learn how to use R...
CRC Press, 2018. — 213 p. — ISBN: 9781138626911. Textual Statistics with R comprehensively covers the main multidimensional methods in textual statistics supported by a specially-written package in R. Methods discussed include correspondence analysis, clustering, and multiple factor analysis for contigency tables. Each method is illuminated by applications. The book is aimed at...
Packt Publishing, 2013. — 110 p. — ISBN: 1783284471, 9781783284474 Harness the graphical and statistical power of R and rapidly develop interactive user interfaces using the superb Shiny package Overview Helps you to use Shinys built in functions to produce engaging and useful user interfaces in hours, not days Enables you to extend Shiny using JavaScript and jQuery with...
2nd Edition. — Packt Publishing, 2016. — 194 p. — ISBN: 978-1-78217-434-9. Integrate the power of R with the simplicity of Shiny to deliver cutting-edge analytics over the Web. R is a highly flexible and powerful tool for analyzing and visualizing data. Most of the applications built using various libraries with R are desktop-based. But what if you want to go on the web? Here...
Guzzler Media LLC, 2019. — 118 p. — ISBN: 978-1696769648. R is a programming language and software environment for statistical analysis, graphics representation, and reporting. If you are trying to understand the R programming language as a beginner, this short book will give you enough understanding of almost all the concepts of the R language. The author will guide you through...
Guzzler Media LLC, 2019. — 118 p. — ISBN: 978-1696769648. R is a programming language and software environment for statistical analysis, graphics representation, and reporting. If you are trying to understand the R programming language as a beginner, this short book will give you enough understanding of almost all the concepts of the R language. The author will guide you through...
Guzzler Media LLC, 2019. — 118 p. — ISBN: 978-1696769648. R is a programming language and software environment for statistical analysis, graphics representation, and reporting. If you are trying to understand the R programming language as a beginner, this short book will give you enough understanding of almost all the concepts of the R language. The author will guide you through...
2nd ed. — Guzzler Media LLC, 2019. — 118 p. — ISBN: 9781696769648. R is a programming language and software environment for statistical analysis, graphics representation, and reporting. If you are trying to understand the R programming language as a beginner, this short book will give you enough understanding of almost all the concepts of the R language. The author will guide...
Packt Publishing, 2016. — 250 p. — ISBN10: 1784392057. — ISBN13: 978-1784392055 We'll start by showing you how to transform a classical statistical model into a modern PGM and then look at how to do exact inference in graphical models. Proceeding, we'll introduce you to many modern R packages that will help you to perform inference on the models. We will then run a Bayesian...
Packt Publishing, 2016. — 250 p. — ISBN10: 1784392057. — ISBN13: 978-1784392055 We'll start by showing you how to transform a classical statistical model into a modern PGM and then look at how to do exact inference in graphical models. Proceeding, we'll introduce you to many modern R packages that will help you to perform inference on the models. We will then run a Bayesian...
Cambridge University Press, 2016. — 394 p. — ISBN: 978-1-107-15075-1. Are you innately curious about dynamically inter-operating financial markets? Since the crisis of 2008, there is a need for professionals with more understanding about statistics and data analysis, who can discuss the various risk metrics, particularly those involving extreme events. By providing a resource...
Packt Publishing, 2015. — 362 p. — ISBN: 1783552077, 9781783552078 Use R to optimize your trading strategy and build up your own risk management system About This Book Learn to manipulate, visualize, and analyze a wide range of financial data with the help of built-in functions and programming in R Understand the concepts of financial engineering and create trading strategies...
Код и наборы данных (datasets) к книге: Berlinger E., Illés F., Vadász T. et al., Mastering R for Quantitative Finance В архив включены: Исходный код на R к примерам для глав 1-13. Данные к примерам для глав 2, 6, 7, 11, 12, 13
CRC Press, 2011. — 304 p. — ISBN: 1439813264. Multivariate Generalized Linear Mixed Models Using R presents robust and methodologically sound models for analyzing large and complex data sets, enabling readers to answer increasingly complex research questions. The book applies the principles of modeling to longitudinal data from panel and related studies via the Sabre software...
2011 | ISBN 978-1-4614-2034-7 | 245 pages This book covers competing risks and multistate models, sometimes summarized as event history analysis. These models generalize the analysis of time to a single event (survival analysis) to analysing the timing of distinct terminal events (competing risks) and possible intermediate events (multistate models). Both R and multistate...
Packt Publishing, 2019. — 339 p. — ISBN: 1789538777, 9781789538779. This book is for data scientists, machine learning practitioners, deep learning researchers, and AI enthusiasts who want to develop their skills and knowledge to implement deep learning techniques and algorithms using the power of R. A solid understanding of machine learning and a working knowledge of the R...
2nd ed. — Packt Publishing, 2017. — 588 p. — ISBN: 978-1787284395. Key Features Apply R to simplify predictive modelling with short and simple code Use machine learning to solve problems ranging from small to big data Build a training and testing dataset, applying different classification methods. Book Description The R language is a powerful open source functional programming...
2nd ed. — Packt Publishing, 2017. — 588 p. — ISBN: 978-1787284395. Key Features Apply R to simplify predictive modelling with short and simple code Use machine learning to solve problems ranging from small to big data Build a training and testing dataset, applying different classification methods. Book Description The R language is a powerful open source functional programming...
2nd ed. — Packt Publishing, 2017. — 588 p. — ISBN: 978-1787284395. Key Features Apply R to simplify predictive modelling with short and simple code Use machine learning to solve problems ranging from small to big data Build a training and testing dataset, applying different classification methods. Book Description The R language is a powerful open source functional programming...
CRC Press, 2024. — 171 p. This book discusses and compares four different approaches towards analyzing panel data in Qualitative Comparative Analysis (QCA). It starts by introducing QCA as a research approach, then discusses the most important assumptions, and steps like set-calibration and theory-testing, and finally demonstrates each of the four panel data approaches, in...
Columbia Univ., 2015 — 40 p. — EPIC R When R doesn’t work for you because you have too much data? Big data presents opportunity, but is also a pain in the neck. Computing power mitigates some of the pain. Because big data is “the future”, there’s a lot of interest around how we’ll handle it, but technologies and systems are still getting figured out.
Boca Raton: CRC Press Taylor & Francis, 2013. - 533p.
Analysis of Categorical Data with R presents a modern account of categorical data analysis using the popular R software. It covers recent techniques of model building and assessment for binary, multicategory, and count response variables and discusses fundamentals, such as odds ratio and probability estimation. The authors...
2nd Edition. — CRC Press, 2025. — 688 p. — ISBN 9780367553234. Analysis of Categorical Data with R, Second Edition presents a modern account of categorical data analysis using the R software environment. It covers recent techniques of model building and assessment for binary, multicategory, and count response variables and discusses fundamentals, such as odds ratio and...
2nd Edition. — Chapman & Hall, 2024.. — 706 p. — eBook ISBN 9781003093091. Analysis of Categorical Data with R, Second Edition presents a modern account of categorical data analysis using the R software environment. It covers recent techniques of model building and assessment for binary, multicategory, and count response variables and discusses fundamentals, such as odds ratio...
Boca Raton: CRC Press, 2024. — 297 p. R is a statistical computing and graphics programming language that you can use to clean, analyze, and graph data. It is widely used by researchers from various disciplines to estimate and display results and by teachers of statistics and research methods. This book is a detailed guide for beginners to understand R with an explanation of...
Oxford: Oxford University Press, 2022. — 513 p. Random process analysis (RPA) is used as a mathematical model in physics, chemistry, biology, Computer Science, information theory, economics, environmental science, and many other disciplines. Over time, it has become more and more important for the provision of computer code and data sets. This book presents the key concepts,...
Packt Publishing, 2014. — 285 p. — ISBN: 1783986689, 9781783986682
R is best suited to produce data and visual analytics through customizable scripts and commands, instead of typical statistical tools that provide tick boxes and drop-down menus for users. The book is divided into three parts to help you perform these steps. It starts by providing you with an overview of the...
Springer, 2023. — 197 p. Includes data analytic examples in R. This book offers an introduction to applied statistics through data analysis, integrating statistical computing methods. It covers robust and non-robust descriptive statistics used in each of four bivariate statistical models that are commonly used in research: ANOVA, proportions, regression, and logistic. The text...
Springer, 2023. — 197 p. Includes data analytic examples in R. This book offers an introduction to applied statistics through data analysis, integrating statistical computing methods. It covers robust and non-robust descriptive statistics used in each of four bivariate statistical models that are commonly used in research: ANOVA, proportions, regression, and logistic. The text...
N.Y.: Wiley, 2015. — 308 p. Spatial and Spatio-Temporal Bayesian Models with R-INLA provides a much needed, practically oriented & innovative presentation of the combination of Bayesian methodology and spatial statistics. The authors combine an introduction to Bayesian theory and methodology with a focus on the spatial and spatio-temporal models used within the Bayesian...
Springer, 2009. — 320 p. — ISBN 1441900845. This book provides an introduction, suitable for advanced undergraduates and beginning graduate students, to two important aspects of molecular biology and biophysics: computer simulation and data analysis. It introduces tools to enable readers to learn and use fundamental methods for constructing quantitative models of biological...
Chapman and Hall/CRC, 2014. — 352 p. — ISBN: 143988448X, 9781439884485
Instead of presenting the standard theoretical treatments that underlie the various numerical methods used by scientists and engineers, Using R for Numerical Analysis in Science and Engineering shows how to use R and its add-on packages to obtain numerical solutions to the complex mathematical problems...
Springer, 2016. — 238 p. — ISBN: 978-3-319-45598-3, 978-3-319-45599-0
This guide for practicing statisticians, data scientists, and R users and programmers will teach the essentials of preprocessing: data leveraging the R programming language to easily and quickly turn noisy data into usable pieces of information. Data wrangling, which is also commonly referred to as data...
Springer, 2011. -
351. ISBN 1441979611, 9781441979612
This book covers recent advances in efficiency evaluation, most notably the Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA) methods. It introduces the underlying theories, shows how to make the relevant calculations and discusses some applications. The aim is to make the reader aware of the pros and...
Version 0.20 | Date 2011-04-15 The package contains methods to support frontier analysis. It covers Data Envelopment Analysis (DEA). DEA is supported under different technology assumptions (fdh, vrs, drs, crs,irs, add/frh, and fdh+), and usingdifferent efficiency measures (input based, output based, hyperbolic graph,additive, super, and directional efficency). Peers and slacks...
CRC Press, 2024. — 492 p. — eBook ISBN: 978-1-003-32084-5. This book introduces the reader to data science using R and the tidyverse. No prerequisite knowledge is needed in college-level programming or mathematics (e.g., calculus or statistics). The book is self-contained so readers can immediately begin building data science workflows without needing to reference extensive...
Wiley, 2014. — 240 p. — ISBN: 1119952379, 9781119952374 A novel presentation of rank and permutation tests, with accessible guidance to applications in R. Nonparametric testing problems are frequently encountered in many scientific disciplines, such as engineering, medicine and the social sciences. This book summarizes traditional rank techniques and more recent developments in...
Springer, 2013. – 566 p. – ISBN: 1461448174, 9781461448174 This book is for students and researchers who have had a first year graduate level mathematical statistics course. It covers classical likelihood, Bayesian, and permutation inference; an introduction to basic asymptotic distribution theory; and modern topics like M-estimation, the jackknife, and the bootstrap. R code is...
SAGE Publications Ltd, 2022. — 391 p. This approachable book introduces network research in R, walking you through every step of doing social network analysis. Drawing together research design, data collection and data analysis, it explains the core concepts of network analysis in a non-technical way. The book balances an easy to follow explanation of the theoretical and...
3rd Edition. — Cambridge University Press, 2021. — 280 p. — ISBN 978-1-108-99345-6. This third edition of Braun and Murdoch's bestselling textbook now includes discussion of the use and design principles of the tidyverse packages in R, including expanded coverage of ggplot2, and R Markdown. The expanded simulation chapter introduces the Box–Muller and Metropolis–Hastings...
3rd Edition. — Cambridge University Press, 2021. — 280 p. — ISBN 978-1-108-99345-6. This third edition of Braun and Murdoch's bestselling textbook now includes discussion of the use and design principles of the tidyverse packages in R, including expanded coverage of ggplot2, and R Markdown. The expanded simulation chapter introduces the Box–Muller and Metropolis–Hastings...
Cambridge University Press, 2008. — 174 p. — ISBN 0521694248. This is the only introduction you'll need to start programming in R, the open-source language that is free to download, and lets you adapt the source code for your own requirements. Co-written by one of the R Core Development Team, and by an established R author, this book comes with real R code that complies with the...
2nd ed. — Cambridge University Press, 2016. — 230 p. — ISBN: 1107576466, 9781107576469. This new color edition of Braun and Murdoch's bestselling textbook integrates use of the RStudio platform and adds discussion of newer graphics systems, extensive exploration of Markov chain Monte Carlo, expert advice on common error messages, motivating applications of matrix...
Solutions to Selected Exercises for Braun and Murdoch's A First Course in Statistical Programming with R, 3rd edition Cambridge University Press, 2021. — 86 p.
Taylor and Francis Group, LLC. 2011. - 202 pages Adopting a unifying theme based on maximum statistics, Multiple Comparisons Using R describes the common underlying theory of multiple comparison procedures through numerous examples. It also presents a detailed description of available software implementations in R. The R packages and source code for the analyses are available...
Chapman & Hall/CRC, 2010. — 205 p. — ISBN 584885742. Adopting a unifying theme based on maximum statistics, Multiple Comparisons Using R describes the common underlying theory of multiple comparison procedures through numerous examples. It also presents a detailed description of available software implementations in R. The R packages and source code for the analyses are...
Springer, 2009. — 412 p. — ISBN 0387921249. Quantitative trait locus (QTL) mapping is used to discover the genetic and molecular architecture underlying complex quantitative traits. It has important applications in agricultural, evolutionary, and biomedical research. R/qtl is an extensible, interactive environment for QTL mapping in experimental crosses. It is implemented as a...
CRC Press, 2012. — 236 p. — ISBN: 1439831645, 9781439831649 With an emphasis on social science applications, Event History Analysis with R presents an introduction to survival and event history analysis using real-life examples. Keeping mathematical details to a minimum, the book covers key topics, including both discrete and continuous time data, parametric proportional...
2nd edition. — CRC Press, 2022. — 341 p. — ISBN 978-1-032-12320-2. With an emphasis on social science applications, Event History Analysis with R, Second Edition, presents an introduction to survival and event history analysis using real-life examples. Since publication of the first edition, focus in the field has gradually shifted towards the analysis of large and complex...
Apress, 2018. — 282 p. — ISBN: 1484234944. This tutorial teaches you how to use the statistical programming language R to develop a business case simulation and analysis. It presents a methodology for conducting business case analysis that minimizes decision delay by focusing stakeholders on what matters most and suggests pathways for minimizing the risk in strategic and...
2nd edition. — SAGE Publications Ltd, 2019. — 337 p. — (Spatial Analytics and GIS). — ISBN 978-1-5264-2850-9. This is a new edition of the accessible and student-friendly ′how to′ for anyone using R for the first time, for use in spatial statistical analysis, geocomputation and digital mapping. The authors, once again, take readers from ‘zero to hero’, updating the now standard...
2nd edition. — SAGE Publications Ltd, 2019. — 337 p. — (Spatial Analytics and GIS). — ISBN 978-1-5264-2850-9. This is a new edition of the accessible and student-friendly ′how to′ for anyone using R for the first time, for use in spatial statistical analysis, geocomputation and digital mapping. The authors, once again, take readers from ‘zero to hero’, updating the now standard...
Sage Publications, 2015. — 360 p. R is a powerful open source computing tool that supports geographical analysis and mapping for the many geography and ‘non-geography’ students and researchers interested in spatial analysis and mapping. This book provides an introduction to the use of R for spatial statistical analysis, geocomputation and the analysis of geographical...
CRC Press, 2022. — 549 p. — (The R Series). Scientific research often starts with data collection. However, many researchers pay insufficient attention to this first step in their research. The author, researcher at Wageningen University and Research, often had to conclude that the data collected by fellow researchers were suboptimal, or in some cases even unsuitable for their...
CRC Press, 2022. — 549 p. — (The R Series). — ISBN: 978-1 -032 -19385-4. Scientific research often starts with data collection. However, many researchers pay insufficient attention to this first step in their research. The author, researcher at Wageningen University and Research, often had to conclude that the data collected by fellow researchers were suboptimal, or in some...
Leanpub, 2017. — 250 p. — ISBN: 978-956-362-693-3. This is a technical book. The scope of the book is to go straight to the point and the writing style is similar to a recipe with detailed instructions. It is assumed that you know the basics of R and that you want to learn how to create beautiful plots. Each chapter will explain how to create a different type of plot, and will...
Leanpub, 2020. — 250 p. — ISBN: 978-956-362-693-3. This book will help you master R plots the easy way. We have spent a long time creating R plots with different tools (base, lattice and ggplot2) during different academic and working positions. If you want to create highly customised plots in R, including replicating the styles of XKCD, The Economist or FiveThirtyEight, this is...
Описаны разные ‘грабли’, на которые можно наступить при программировании на языке R, в том числе и те, на которые не наступить просто нельзя. Например: 0.1==1/10 [1] TRUE 0.1==0.3/3 [1] FALSE Смотрите также здесь http://www.burns-stat.com/pages/Tutor/R_inferno.pdf
Patrick J. Burns, 1998. — 439 p.
Five great strengths of S are its variety of objects, its vector orientation, the power of subscripting, object-oriented programming and graphics. Each of these is explored before turning to other matters.
A powerful and fairly unique part of S that will be addressed in later chapters is the possibility of computing on the language. Essentially...
Wiley, 2018. — 312 p. — ISBN: 978-1-119-08002-2. The only how-to guide offering a unified, systemic approach to acquiring, cleaning, and managing data in R Every experienced practitioner knows that preparing data for modeling is a painstaking, time-consuming process. Adding to the difficulty is that most modelers learn the steps involved in cleaning and managing data piecemeal,...
Lean Publishing, 2019. — 144 p. The book is intended to be a low cost introduction to the important field of regression models. The intended audience are students who are numerically and computationally literate, who would like to put those skills to use in Data Science or Statistics.
Knowledge of the environmental features affecting habitat selection by animals is important for designing wildlife management and conservation policies. The package adehabitat for the R software is designed to provide a computing environment for the analysis and modelling of such relationships. This paper focuses on the preliminary steps of data exploration and analysis, performed...
Apress, 2019. — 157 p. — ISBN10: 1484245105, 13 978-1484245101. Discover how to use the popular RStudio IDE as a professional tool that includes code refactoring support, debugging, and Git version control integration. This book gives you a tour of RStudio and shows you how it helps you do exploratory data analysis; build data visualizations with ggplot; and create custom R...
Springer, 2015. — 373 p. — (Use R!). — ISBN: 3319240447, 9783319240442
Presenting a practitioner's guide to capabilities and best practices of quality control systems using the R programming language, this volume emphasizes accessibility and ease-of-use through detailed explanations of R code as well as standard statistical methodologies. In the interest of reaching the widest...
Internet, 2012. — 83 p. — ISBN: N\A
Carlson M., Obenchain V., Pages H., Shannon P., Tenenbaum D., Morgan M.
This workshop introduces use of R and Bioconductor for analysis of high-throughput sequence data. The workshop is structured as a series of short remarks followed by group exercises. The exercises explore the diversity of tasks for which R Bioconductor are appropriate,...
2nd ed. — Springer, 2014. — 594 p. — ISBN: 1461487870, 9781461487883. Although there are many books on mathematical finance, few deal with the statistical aspects of modern data analysis as applied to financial problems. This textbook fills this gap by addressing some of the most challenging issues facing financial engineers. It shows how sophisticated mathematics and modern...
Springer, 2004. — 454 p. — ISBN: 0387202862. This book develops the use of statistical data analysis in finance, and it uses the statistical software environment of S-PLUS as a vehicle for presenting practical implementations from financial engineering. It is divided into three parts. Part I, Exploratory Data Analysis, reviews the most commonly used methods of statistical data...
Manning Publications, 2018. — 352 р. — ISBN: 1617294594. Beyond Spreadsheets with R shows you how to take raw data and transform it for use in computations, tables, graphs, and more. You'll build on simple programming techniques like loops and conditionals to create your own custom functions. You'll come away with a toolkit of strategies for analyzing and visualizing data of...
Ediciones Díaz De Santos, 2012. — 382 Seiten. — ISBN: 8499692117, 9788499692111
Spanisch:
R no es solamente el programa estadístico de uso general más potente y versátil, además de ser totalmente gratuito, sino que es también el que tiene la mayor variedad y potencia de gráficos. Los gráficos son una forma de presentar la información de modo que pueda ser ade- cuadamente...
Б.м.: Leanpub, 2021. — 374 p. Learn how to leverage the power of machine learning and deep learning to analyze behavioral patterns from sensors data and electronic records. This book shows you how to explore, preprocess, encode, and visualize your data This is the first version (Leanpub) of the book. The most recent version is available for free in HTML at...
CRC Press, 2016. — 379 p. — (Chapman & Hall/CRC The R Series). — ISBN: 978-1-4987-7572-4. Up-to-Date Guidance from One of the Foremost Members of the R Core Team Written by John M. Chambers, the leading developer of the original S software, Extending R covers key concepts and techniques in R to support analysis and research projects. It presents the core ideas of R, provides...
ISBN-10: 0387985034 | ISBN-13: 978-0387985039 | Publication Date: 1998 |469 pages
Here is a thorough and authoritative guide to the latest version of the S language and its programming environment. Programming With Data describes a new and greatly extended version of S, written by the chief designer of the language itself. It is a guide to the complete programming process,...
Springer, 2008. — 512 p. — ISBN 0387759352. This is a book about Software for Data Analysis: using computer software to extract information from some source of data by organizing, visualizing, modeling, or performing any other relevant computation on the data. We all seem to be swimming in oceans of data in the modern world, and tasks ranging from scientific research to managing a...
Wadsworth & Brooks/Cole Publishing Company, 1983. — 407 p. — ISBN: 0871504138, 053498052X.
This book is an excellent introductory book to graphical data analysis. If you are an advanced reader, this book is a good one to have lying around for reference (especially since it costs so little and does not take up much space). The book relies heavily on the use of S-PLUS , a...
Publisher: Chapman and Hall/C.R.C. |1991 | ISBN: 0412053012, 0412052911 | 608 pages | Statistical Models in S extends the S language to fit and analyze a variety of statistical models, including analysis of variance, generalized linear models, additive models, local regression, and tree-based models. The contributions of the ten authors-most of whom work in the statistics...
Chapman and Hall/CRC, 1997. – 620 p. – ISBN: 0412053012, 0412052911, 9780412053016 Statistical Models in S extends the S language to fit and analyze a variety of statistical models, including analysis of variance, generalized linear models, additive models, local regression, and tree-based models. The contributions of the ten authors-most of whom work in the statistics research...
Publisher: Wiley | 2010 | ISBN10: 0470583622 | 316 pages A new edition of the comprehensive, hands-on guide to financial time series, now featuring S-Plus and R software. Time Series: Applications to Finance with R and S-Plus, Second Edition is designed to present an in-depth introduction to the conceptual underpinnings and modern ideas of time series analysis. Utilizing...
CRC Press, 2014. — 706 p. — 2nd ed. — ISBN: 1482256592 Get Up to Speed on Many Types of Adaptive Designs Since the publication of the first edition, there have been remarkable advances in the methodology and application of adaptive trials. Incorporating many of these new developments, Adaptive Design Theory and Implementation Using SAS and R, Second Edition offers a detailed...
O’Reilly Media – 2013, 416 pages ISBN: 1449316956, 9781449316952 This practical guide provides more than 150 recipes to help you generate high-quality graphs quickly, without having to comb through all the details of R’s graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project, and includes a discussion of how and why the recipe...
Second Edition. — New York: O’Reilly Media, 2018. — 420 p. The updated edition of this practical guide provides more than 150 recipes to help you generate high-quality graphs quickly, without having to comb through all the details of R’s graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project, and includes a discussion of how...
Second Edition. — New York: O’Reilly Media, 2018. — 1151 p. — ISBN: 9781491978597. Early Release Updated (08/2018) The updated edition of this practical guide provides more than 150 recipes to help you generate high-quality graphs quickly, without having to comb through all the details of R’s graphing systems. Each recipe tackles a specific problem with a solution you can apply...
2nd ed. — O’Reilly, 2018. — 444 p. — ASIN B07JPL9K64. This O’Reilly cookbook provides more than 150 recipes to help scientists, engineers, programmers, and data analysts generate high-quality graphs quickly—without having to comb through all the details of R’s graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project and includes a...
2nd ed. — O’Reilly, 2018. — 444 p. — ASIN B07JPL9K64. This O’Reilly cookbook provides more than 150 recipes to help scientists, engineers, programmers, and data analysts generate high-quality graphs quickly—without having to comb through all the details of R’s graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project and includes a...
N.-Y.: Springer, 2015. - 454p.
This book is a complete introduction to the power of R for marketing research practitioners. The text describes statistical models from a conceptual point of view with a minimal amount of mathematics, presuming only an introductory knowledge of statistics. Hands-on chapters accelerate the learning curve by asking readers to interact with R from...
2nd Edition. — Springer, 2019. — 492 p. — ISBN: 978-3-030-14315-2 ISBN: 978-3-030-14316-9. Basics of R Welcome to R An Overview of the R Language Fundamentals of Data Analysis Describing Data Relationships Between Continuous Variables Comparing Groups: Tables and Visualizations Comparing Groups: Statistical Tests Identifying Drivers of Outcomes: Linear Models Advanced Marketing...
Packt Publishing, 2016. — 244 p. — ISBN13: 9781784394004. True PDF Master the robust features of R parallel programming to accelerate your data science computations R is one of the most popular programming languages used in data science. Applying R to big data and complex analytic tasks requires the harnessing of scalable compute resources. Mastering Parallel Programming with R...
Packt Publishing, 2016. — 244 p. — ISBN13: 9781784394004. Master the robust features of R parallel programming to accelerate your data science computations R is one of the most popular programming languages used in data science. Applying R to big data and complex analytic tasks requires the harnessing of scalable compute resources. Mastering Parallel Programming with R presents...
Packt Publishing, 2016. — 244 p. — ISBN13: 9781784394004. Master the robust features of R parallel programming to accelerate your data science computations R is one of the most popular programming languages used in data science. Applying R to big data and complex analytic tasks requires the harnessing of scalable compute resources. Mastering Parallel Programming with R presents...
New York: Chapman and Hall/CRC, 2014. — 656 p. — ISBN: 978-1-4665-9260-5 A Hands-On Approach to Understanding and Using Actuarial Models. Computational Actuarial Science with R provides an introduction to the computational aspects of actuarial science. Using simple R code, the book helps you understand the algorithms involved in actuarial computations. It also covers more...
N.-Y.: Springer, 2014. - 349p. This book introduces Astrostatistics as a subject in its own right with rewarding examples, including work by the authors with galaxy and Gamma Ray Burst data to engage the reader. This includes a comprehensive blending of Astrophysics and Statistics. The first chapter’s coverage of preliminary concepts and terminologies for astronomical...
Springer, 2021. — 239 p. — (Emerging Topics in Statistics and Biostatistics). — ISBN 978-3-030-67582-0. This book provides a concise point of reference for the most commonly used regression methods. It begins with linear and nonlinear regression for normally distributed data, logistic regression for binomially distributed data, and Poisson regression and negative-binomial...
Springer, 2021. — 239 p. — (Emerging Topics in Statistics and Biostatistics). — ISBN 978-3-030-67582-0. This book provides a concise point of reference for the most commonly used regression methods. It begins with linear and nonlinear regression for normally distributed data, logistic regression for binomially distributed data, and Poisson regression and negative-binomial...
2nd Edition. - CRC Press, Inc., 2021. — 457 p. — ISBN 978-0367183837. Review of the First Edition: The authors strive to reduce theory to a minimum, which makes it a self-learning text that is comprehensible for biologists, physicians, etc. who lack an advanced mathematics background. Unlike in many other textbooks, R is not introduced with meaningless toy examples; instead the...
CRC, 2010. — 387 p. — ISBN 1439840202. Too often in biostatistical research and clinical trials, a knowledge gap exists between developed statistical methods and the applications of these methods. Filling this gap, Clinical Trial Data Analysis Using R provides a thorough presentation of biostatistical analyses of clinical trial data and shows step by step how to implement the...
Chapman and Hall/CRC, 2013. — 335 p. — ISBN: 1466505990, 9781466505995 CRC Biostatistics Series (Book 59) In biostatistical research and courses, practitioners and students often lack a thorough understanding of how to apply statistical methods to synthesize biomedical and clinical trial data. Filling this knowledge gap, Applied Meta-Analysis with R shows how to implement...
CRC Press, 2012. — 433 p. — ISBN: 1466504250
Interval-Censored Time-to-Event Data: Methods and Applications collects the most recent techniques, models, and computational tools for interval-censored time-to-event data. Top biostatisticians from academia, biopharmaceutical industries, and government agencies discuss how these advances are impacting clinical trials and biomedical...
CRC Press, 2025. — 298 p. — ISBN 978-1-032-74149-9. Financial Data Analysis with R: Monte-Carlo Validation is a comprehensive exploration of statistical methodologies and their applications in finance. Readers are taken on a journey in each chapter through practical explanations and examples, enabling them to develop a solid foundation of these methods in R and their...
N.-Y.: Wiley, 2011. - 240p.
A comprehensive introduction to bootstrap methods in the R programming environment
Bootstrap methods provide a powerful approach to statistical data analysis, as they have more general applications than standard parametric methods. An Introduction to Bootstrap Methods with Applications to R explores the practicality of this approach and successfully...
CRC Press, 2011. – 200 p. – ISBN: 1420091514, 9781420091519 As clinicians begin to realize the important role of dose-finding in the drug development process, there is an increasing openness to "novel" methods proposed in the past two decades. In particular, the Continual Reassessment Method (CRM) and its variations have drawn much attention in the medical community, though it...
Springer – 2012, 247 pages. ISBN: 940072411X, 9789400724112. Through analysis of the European Union Emissions Trading Scheme (EU ETS) and the Clean Development Mechanism (CDM), this book demonstrates how to use a variety of econometric techniques to analyze the evolving and expanding carbon markets sphere, techniques that can be extrapolated to the worldwide marketplace. It...
2nd Edition. — Wiley, 2019. — 544 p. — ISBN: 978-1-119-41653-1. This thoroughly updated second edition combines the latest software applications with the benefits of modern resampling techniques Resampling helps students understand the meaning of sampling distributions, sampling variability, P-values, hypothesis tests, and confidence intervals. The second edition of...
Wiley, 2011. — 434 p. — ISBN: 1118029852, 9781118029855 Качество: Электронное издание. Resampling helps students understand the meaning of sampling distributions, sampling variability, P-values, hypothesis tests, and confidence intervals. This groundbreaking book shows how to apply modern resampling techniques to mathematical statistics. Extensively class-tested to ensure an...
3rd Edition. — Wiley, 2022. — 576 p. — eBook ISBN 978-1-119-87404-1. This thoroughly updated third edition combines the latest software applications with the benefits of modern resampling techniques Resampling helps students understand the meaning of sampling distributions, sampling variability, P-values, hypothesis tests, and confidence intervals. The third edition of...
Manning Publications, 2018. — 392 p. Artificial intelligence has made some incredible leaps. Deep learning systems now deliver near-human speech and image recognition, not to mention machines capable of beating world champion Go masters. Deep learning applies to a widening range of problems, such as question answering, machine translation, and optical character recognition. It’s...
Self-published, 2024 — 45 p. — ASIN B0CQK5XFCV. "50 R Exercises" is a practical manual created for people who want to improve their knowledge of R programming and data analysis and visualisation. Whether you're a beginner looking for a firm foundation or an experienced user looking to expand your knowledge, this book provides a carefully chosen set of 50 tasks that gradually...
Packt Publishing, 2018. — 422 p. — ISBN: 978-1788627306. Key Features Implement different regression analysis techniques to solve common problems in data science - from data exploration to dealing with missing values From Simple Linear Regression to Logistic Regression - this book covers all regression techniques and their implementation in R A complete guide to building...
Packt Publishing, 2018. — 422 p. — ISBN: 978-1788627306. Key Features Implement different regression analysis techniques to solve common problems in data science - from data exploration to dealing with missing values From Simple Linear Regression to Logistic Regression - this book covers all regression techniques and their implementation in R A complete guide to building...
Packt Publishing, 2018. — 422 p. — ISBN: 978-1788627306. Only CODE files! Key Features Implement different regression analysis techniques to solve common problems in data science - from data exploration to dealing with missing values From Simple Linear Regression to Logistic Regression - this book covers all regression techniques and their implementation in R A complete guide...
Packt Publishing, 2017. — 316 p. — ISBN: 9781788397872. Neural networks are one of the most fascinating machine learning models for solving complex computational problems efficiently. Neural networks are used to solve a wide range of problems in different areas of AI and machine learning. This book explains the niche aspects of neural networking and provides you with the...
Wiley, 2014 2015. — 720 p. — ISBN: 9781118332580 Data Mining Algorithms is a practical, technically-oriented guide to data mining algorithms that covers the most important algorithms for building classification, regression, and clustering models, as well as techniques used for attribute selection and transformation, model quality evaluation, and creating model ensembles. The...
Packt Publishing, 2017. — 442 p. — ISBN: 1787124460. Mine valuable insights from your data using popular tools and techniques in R About This Book Understand the basics of data mining and why R is a perfect tool for it. Manipulate your data using popular R packages such as ggplot2, dplyr, and so on to gather valuable business insights from it. Apply effective data mining models...
Packt Publishing, 2017. — 442 p. — ISBN: 1787124460. Mine valuable insights from your data using popular tools and techniques in R About This Book Understand the basics of data mining and why R is a perfect tool for it. Manipulate your data using popular R packages such as ggplot2, dplyr, and so on to gather valuable business insights from it. Apply effective data mining models...
Packt Publishing, 2017. — 442 p. — ISBN: 1787124460. !Only code files! Mine valuable insights from your data using popular tools and techniques in R About This Book Understand the basics of data mining and why R is a perfect tool for it. Manipulate your data using popular R packages such as ggplot2, dplyr, and so on to gather valuable business insights from it. Apply effective...
Packt Publishing, 2016. — 246 p. — ISBN: 978-1-78439-103-4.
Over 50 practical and useful recipes to help you perform data analysis with R by unleashing every native RStudio feature.
The requirement of handling complex datasets, performing unprecedented statistical analysis, and providing real-time visualizations to businesses has concerned statisticians and analysts across...
Packt Publishing, 2016. — 246 p. — ISBN: 978-1-78439-103-4. Over 50 practical and useful recipes to help you perform data analysis with R by unleashing every native RStudio feature. The requirement of handling complex datasets, performing unprecedented statistical analysis, and providing real-time visualizations to businesses has concerned statisticians and analysts across the...
Center for Social Research University of Notre Dame, 2013. – 42 p. – ISBN: N/A The purpose of this document is to provide a conceptual introduction to statistical or machine learning (ML) techniques for those that might not normally be exposed to such approaches during their required typical statistical training. Machine learning can be described as a form of a statistics,...
Center for Social Research University of Notre Dame, 2013. – 29 p. – ISBN: N/A The goal of this tutorial and associated short course is fairly straightforward- I wish to introduce the program well enough for one to understand some basics and feel comfortable trying things on their own. In this light the focus will be on some typical applications (colored by a social science...
Springer, 2005. — 195 p. — ISBN: 0387249699, 9780387283937 S+Functional Data Analysis is the first commercial object oriented package for exploring, modeling, and analyzing functional data. Functional data analysis (FDA) handles longitudinal data and treats each observation as a function of time (or other variable). The functions are related. The goal is to analyze a sample of...
Springer, 2008. — 318 p. — ISBN 038777789X Quantifying shape and size variation is essential in evolutionary biology and in many other disciplines. Since the morphometric revolution of the 90s, an increasing number of publications in applied and theoretical morphometrics emerged in the new discipline of statistical shape analysis. The R language and environment offers a single...
University College Cork, 2013. — Release 0.2 — 35 p. This little booklet has some information on how to use R for biomedical statistics. R (www.r-project.org) is a commonly used free Statistics software. R allows you to carry out statistical analyses in an interactive mode, as well as allowing simple programming. How to install R Introduction to R Installing R Installing R...
University College Cork – 2011, Release 0.1, 37 pages This is a simple introduction to Biomedical Statistics using the R statistics software. How to install R Introduction to R Installing R Installing R packages Running R A brief introduction to R Links and Further Reading Acknowledgements Contact License Using R for Biomedical Statistics Biomedical statistics Calculating...
University College Cork – 2011, Release 0.1, 53 pages This is a simple introduction to multivariate analysis using the R statistics software. How to install R Introduction to R Installing R Installing R packages Running R A brief introduction to R Links and Further Reading Acknowledgements Contact License Using R for Multivariate Analysis Multivariate Analysis Reading...
University College Cork – 2011, Release 0.1, 75 pages This is a simple introduction to time series analysis using the R statistics software. How to install R Introduction to R Installing R Installing R packages Running R A brief introduction to R Links and Further Reading Acknowledgements Contact License Using R for Time Series Analysis Time Series Analysis Reading Time Series...
University College Cork – 2013. — Release 0.2 — 75 p. This little booklet has some information on how to use R for time series analysis. R (www.r-project.org) is a commonly used free Statistics software. R allows you to carry out statistical analyses in an interactive mode, as well as allowing simple programming. How to install R Introduction to R Installing R Installing R...
Wiley, 2008. — 618 p. — ISBN 0470758058. R, an Open Source software, has become the de facto statistical computing environment. It has an excellent collection of data manipulation and graphics capabilities. It is extensible and comes with a large number of packages that allow statistical analysis at all levels – from simple to advanced – and in numerous fields including...
Springer, 2001. – 224 p. – ISBN: 1852334592, 9781852334598 Directly oriented towards real practical application, this book develops both the basic theoretical framework of extreme value models and the statistical inferential techniques for using these models in practice. Intended for statisticians and non-statisticians alike, the theoretical treatment is elementary, with...
RStudio, 2016 — 5 p. Quick reference to R programming language 2. Environments. Data Structures. Object Oriented Field Guide. Functions. Subsetting. Debugging, Condition Handling and Defensive Programming. See Quick reference to R programming language — /file/2529492/
Chapman & Hall/CRC, 2010. — 572 p. — ISBN: 1584887206, 9781584887201. The use of Markov chain Monte Carlo (MCMC) methods for estimating hierarchical models involves complex data structures and is often described as a revolutionary development. An intermediate-level treatment of Bayesian hierarchical models and their applications, Applied Bayesian Hierarchical Methods...
2nd Edition. — Packt Publishing, 2020. — 592 p. — ISBN13: 978-1-4987-8575-4. An intermediate-level treatment of Bayesian hierarchical models and their applications, this book demonstrates the advantages of a Bayesian approach to data sets involving inferences for collections of related units or variables, and in methods where parameters can be treated as random collections....
Apress, 2016. — 217 p. — ISBN: 9781484221778, EISBN: 9781484221785 Code files only! This book explains the broad topic of automated trading, starting with its mathematics and moving to its computation and execution. Readers will gain a unique insight into the mechanics and computational considerations taken in building a backtester, strategy optimizer, and fully functional...
Apress, 2016. — 217 p. — ISBN: 9781484221778, EISBN: 9781484221785 This book explains the broad topic of automated trading, starting with its mathematics and moving to its computation and execution. Readers will gain a unique insight into the mechanics and computational considerations taken in building a backtester, strategy optimizer, and fully functional trading platform....
Springer, 2007. — 201 p. — ISBN 978-0-387-71761-6 This richly illustrated book describes the use of interactive and dynamic graphics as part of multidimensional data analysis. Chapters include clustering, supervised classification, and working with missing values. A variety of plots and interaction methods are used in each analysis, often starting with brushing linked...
CRC Press, 2012. — 306 p. — ISBN: 9781439881460, 1439881464. Although there are currently a wide variety of software packages suitable for the modern statistician, R has the triple advantage of being comprehensive, widespread, and free. Published in 2008, the second edition of Statistiques avec R enjoyed great success as an R guidebook in the French-speaking world. Translated...
Boca Raton: Chapman and Hall/CRC, 2012. — 312 p. — ISBN: 978-1-4398-8146-0. Although there are currently a wide variety of software packages suitable for the modern statistician, R has the triple advantage of being comprehensive, widespread, and free. Published in 2008, the second edition of Statistiques avec R enjoyed great success as an R guidebook in the French-speaking...
2nd ed. — Springer, 2021. — 264 p. — ISBN 9783030728182, 9783030728199 (eBook). Modern optimization, also known as metaheuristics, is related with generalpurpose solvers based on computational methods that use few domain knowledge from the addressed task, iteratively improving an initial solution (or population of solutions) to optimize a problem. Modern optimization is...
Springer, 2014. — 188 p. — ISBN: 3319082620 The goal of this book is to gather in a single document the most relevant concepts related to modern optimization methods, showing how such concepts and methods can be addressed using the open source, multi-platform R tool. Modern optimization methods, also known as metaheuristics, are particularly useful for solving complex problems...
Published by O’Reilly Media, Inc., 2013. — 400 pages ISBN: 1449357105 Learn how to perform data analysis with the R language and software environment, even if you have little or no programming experience. With the tutorials in this hands-on guide, you’ll learn how to use the essential R tools you need to know to analyze data, including data types and programming concepts. The...
Chapman & Hall/CRC, 2017. — 144 p. — (The R Series). — ISBN: 9781498763653, 1498763650, 9781498763660, 1498763669 Learn how to write R code with fewer bugs. The problem with programming is that you are always one typo away from writing something silly. Likewise with data analysis, a small mistake in your model can lead to a big mistake in your results. Combining the two...
Springer, 2009. — 262 p. — ISBN 978-0-387-88697-8 This book gives you a step-by-step introduction to analysing time series using the open source software R. Once the model has been introduced it is used to generate synthetic data, using R code, and these generated data are then used to estimate its parameters. This sequence confirms understanding of both the model and the R...
Wiley, 2014. — 336 p. — 2nd ed. — ISBN: 1118941098, 9781118941096 A revised and updated edition of this bestselling introductory textbook to statistical analysis using the leading free software package R. This new edition of a bestselling title offers a concise introduction to a broad array of statistical methods, at a level that is elementary enough to appeal to a wide range...
2nd ed. — Wiley, 2014. — 336 p. — ISBN: 1118941098, 9781118941096
A revised and updated edition of this bestselling introductory textbook to statistical analysis using the leading free software package R.
This new edition of a bestselling title offers a concise introduction to a broad array of statistical methods, at a level that is elementary enough to appeal to a wide range...
Год выпуска: 2005 | Издательство: Wiley | ISBN: 0470022973 |Язык: Английский | Количество страниц: 333
Computer software is an essential tool for many statistical modelling and data analysis techniques, aiding in the implementation of large data sets in order to obtain useful results. R is one of the most powerful and flexible statistical software packages available, and enables...
2 edition. — A John Wiley & Sons, 2013. — 1076 p. — ISBN10: 0470973927. Hugely successful and popular text presenting an extensive and comprehensive guide for all R users The R language is recognized as one of the most powerful and flexible statistical software packages, enabling users to apply many statistical techniques that would be impossible without such software to help...
John Wiley & Sons Ltd, 2007. — 951 p. Getting Started Essentials of the R Language Data Input Dataframes Graphics Tables Mathematics Classical Tests Statistical Modelling Regression Analysis of Variance Analysis of Covariance Generalized Linear Models Count Data Count Data in Tables Proportion Data Binary Response Variables Generalized Additive Models Mixed-Effects Models...
A John Wiley & Sons, 2013. - 1076 pages. 2 edition ISBN10: 0470973927 Hugely successful and popular text presenting an extensive and comprehensive guide for all R users The R language is recognized as one of the most powerful and flexible statistical software packages, enabling users to apply many statistical techniques that would be impossible without such software to help...
Panel data econometrics is obviously one of the main fields in the profession, but most of the models used are difficult to estimate with R. plm is a package for R which intends to make the estimation of linear panel models straightforward. plm provides functions to estimate a wide variety of models and to make (robust) inference.
Second Edition. — Springer, 2008. — (501 + 305) p. — ISBN 0387759586. The book was developed for a one-semester course usually attended by students in statistics, economics, business, engineering, and quantitative social sciences. Basic applied statistics through multiple linear regression is assumed. Calculus is assumed only to the extent of minimizing sums of squares, but a...
Springer Cham, 2023. — 477 p. — eBook ISBN: 978-3-031-39129-3. One-stop reference for all aspects of Data Analytics, from deep explanation of the algorithms to their application Theoretical-practical approach introduces concepts, then applies them through exercises that are solved using software Consolidates results of EU-funded EDISON project (Education for Data Intensive...
Springer Cham, 2023. — 477 p. — eBook ISBN: 978-3-031-39129-3. One-stop reference for all aspects of Data Analytics, from deep explanation of the algorithms to their application Theoretical-practical approach introduces concepts, then applies them through exercises that are solved using software Consolidates results of EU-funded EDISON project (Education for Data Intensive...
CRC Press, 2010. — 331 p. — ISBN 1420088262. Statistical methods provide a logical, coherent framework in which data from experimental science can be analyzed. However, many researchers lack the statistical skills or resources that would allow them to explore their data to its full potential. Introduction to Data Analysis with R for Forensic Sciences minimizes theory and...
Springer, 2016. — 261 p. — ISBN: 9783030137847. This textbook provides a step-by-step introduction to the class of vine copulas, their statistical inference and applications. It focuses on statistical estimation and selection methods for vine copulas in data applications. These flexible copula models can successfully accommodate any form of tail dependence and are vital to many...
Springer, 2002. — 284 p. — (Statistics and Computing). — ISBN 0387790535. R is an Open Source implementation of the S language. It works on multiple computing platforms and can be freely downloaded. R is now in widespread use for teaching at many levels as well as for practical data analysis and methodological development. This book provides an elementary-level introduction to...
Springer – 2008, 364 pages ISBN: 9780387790534 Features new material on Poisson and nonlinear regression Offers expanded coverage of data handling issues Provides answers to exercises Coverage updated to R 2.6.2. R is an Open Source implementation of the S language. It works on multiple computing platforms and can be freely downloaded. R is now in widespread use for teaching at...
Univ. of Illinois, 2018. — 389 p. This book was originally (and currently) designed for use with STAT 420, Methods of Applied Statistics, at the University of Illinois at Urbana-Champaign. It may certainly be used elsewhere, but any references to “this course” in this book specifically refer to STAT 420.
Packt Publishing, 2014. — 122 p. — ISBN: 1783281774
A concise, hands-on guide with many practical examples and a detailed treatise on inference and social science research that will help you in mining data in the real world.
Whether you are an undergraduate who wishes to get hands-on experience working with social data from the Web, a practitioner wishing to expand your...
CreateSpace Independent Publishing Platform, 2017. — 148 p. — ISBN10: 1543158315. — ISBN13: 978-1543158311. If you are an R user who wants to move away from SQL and instead wants to manipulate data within R, then this book is perfect for you. You will learn by examples, how to use the functions of dplyr package in place of SQL statements. The R’s dplyr provides functions for...
Packt Publishing, 2015. — 397 p. — ISBN: 9781783982028
R is an essential language for sharp and successful data analysis. Its numerous features and ease of use make it a powerful way of mining, managing, and interpreting large sets of data. In a world where understanding big data has become key, by mastering R you will be able to deal with your data effectively and efficiently....
Packt Publishing, 2013. — 165 p. — ISBN: 178328093X.
На англ. языке.
Introduction to R for Quantitative Finance will show you how to solve real-world quantitative finance problems using the statistical computing language R. The book covers diverse topics ranging from time series analysis to financial networks. Each chapter briefly presents the theory behind specific...
Birmingham: Packt Publishing, 2024. - 375 p. - ISBN 1837639027. Master the fundamentals to advanced techniques of causal inference through a practical, hands-on approach with extensive R code examples and real-world applications. Key Features Explore causal analysis with hands-on R tutorials and real-world examples. Grasp complex statistical methods by taking a detailed,...
Packt Publishing, 2019. — 254 p. — ISBN 978-1-78980-437-9. Learn exploratory data analysis concepts using powerful R packages to enhance your R data analysis skills Key Features Speed up your data analysis projects using powerful R packages and techniques Create multiple hands-on data analysis projects using real-world data Discover and practice graphical exploratory analysis...
No Starch Press, 2016. — 832 p. — ISBN13: 978-1-59327-651-5. R is the world's most popular programming language for data analysis and statistical modeling. The Book of R provides an in-depth, beginner-friendly guide to the R language, and teaches you how to use R for common statistical analyses. In The Book of R you'll learn key programming techniques, including how to...
No Starch Press, 2016. — 832 p. — ISBN13: 978-1-59327-651-5. R is the world's most popular programming language for data analysis and statistical modeling. The Book of R provides an in-depth, beginner-friendly guide to the R language, and teaches you how to use R for common statistical analyses. In The Book of R you'll learn key programming techniques, including how to...
Springer, 2015. — 109 p. — ISBN10: 813222339X This book gives an introduction to R to build up graphing, simulating and computing skills to enable one to see theoretical and statistical models in economics in a unified way. The great advantage of R is that it is free, extremely flexible and extensible. The book addresses the specific needs of economists, and helps them move up...
Springer, 2020. — 323 p. — ISBN: 978-981-15-2034-1. This book provides a contemporary treatment of quantitative economics, with a focus on data science. The book introduces the reader to R and RStudio, and uses expert Hadley Wickham’s tidyverse package for different parts of the data analysis workflow. After a gentle introduction to R code, the reader’s R skills are gradually...
Cambridge University Press, 2021. — 312 p. — ISBN 978-1-108-46075-0. Functional ecology is the branch of ecology that focuses on various functions that species play in the community or ecosystem in which they occur. This accessible guide offers the main concepts and tools in trait-based ecology, and their tricks, covering different trophic levels and organism types. It is...
Wiley, 2021. — 887 p. — ISBN: 978-1-119-63277-1. Introduces professionals and scientists to statistics and machine learning using the programming language R Written by and for practitioners, this book provides an overall introduction to R, focusing on tools and methods commonly used in data science, and placing emphasis on practice and business use. It covers a wide range of...
John Wiley & Sons, Inc., 2021. — 928 p. — ISBN: 978-1-119-63277-1 (EPUB). Introduces professionals and scientists to statistics and machine learning using the programming language R Written by and for practitioners, this book provides an overall introduction to R, focusing on tools and methods commonly used in data science, and placing emphasis on practice and business use. It...
John Wiley & Sons, Inc., 2021. — 928 p. — ISBN: 978-1-119-63277-1 (EPUB). Introduces professionals and scientists to statistics and machine learning using the programming language R Written by and for practitioners, this book provides an overall introduction to R, focusing on tools and methods commonly used in data science, and placing emphasis on practice and business use. It...
John Wiley & Sons, Inc., 2021. — 928 p. — ISBN: 978-1-119-63277-1 (EPUB). Introduces professionals and scientists to statistics and machine learning using the programming language R Written by and for practitioners, this book provides an overall introduction to R, focusing on tools and methods commonly used in data science, and placing emphasis on practice and business use. It...
CRC Press, 2023. — 188 p. — ISBN 978-1003380412. Дистанционное зондирование и цифровая обработка изображений с помощью R - Lab Manual This Lab Manual is a companion to the textbook Remote Sensing and Digital Image Processing with R. It covers examples of natural resource data analysis applications including numerous, practical problem-solving exercises, and case studies that...
Springer, 2014. — 628 p. 50 illus., 41 illus. in color. — (Statistics and Computing). — ISBN: 1461490197, 9781461490197 The contents of The R Software are presented so as to be both comprehensive and easy for the reader to use. Besides its application as a self-learning text, this book can support lectures on R at any level from beginner to advanced. This book can serve as a...
CRC Press, 2022. — 323 p. An Introduction to the Rasch Model with Examples in R offers a clear, comprehensive introduction to the Rasch model along with practical examples in the free, open-source software R. It is accessible for readers without a background in psychometrics or statistics, while also providing detailed explanations of the relevant mathematical and statistical...
De Gruyter, 2020. — 474 p. — ISBN 9783110564679. In order best exploit the incredible quantities of data being generated in most diverse disciplines data sciences increasingly gain worldwide importance. The book gives the mathematical foundations to handle data properly. It introduces basics and functionalities of the R programming language which has become the indispensable...
De Gruyter, 2020. — 431 p. — ISBN 9783110564679. In order best exploit the incredible quantities of data being generated in most diverse disciplines data sciences increasingly gain worldwide importance. The book gives the mathematical foundations to handle data properly. It introduces basics and functionalities of the R programming language which has become the indispensable...
Wiley-VCH, 2017. — 355 p. — (Quantitative and Network Biology. Volume 7). — ISBN10: 3527339582. This new title in the well-established "Quantitative Network Biology" series includes innovative and existing methods for analyzing network data in such areas as network biology and chemoinformatics. With its easy-to-follow introduction to the theoretical background and...
Wiley, 2019. — 880 p. — ISBN: 978-1118387986. Advanced Statistics with Applications in R fills the gap between several excellent theoretical statistics textbooks and many applied statistics books where teaching reduces to using existing packages. This book looks at what is under the hood. Many statistics issues including the recent crisis with p-value are caused by...
Wiley, 2013. — 754 p. — 2nd ed. — ISBN: 1118091574, 9781118091579
Praise for the First Edition This book will serve to greatly complement the growing number of texts dealing with mixed models, and I highly recommend including it in one’s personal library. — Journal of the American Statistical Association. Mixed modeling is a crucial area of statistics, enabling the analysis of...
John Wiley & Sons Inc., 2020. — 2080 p. — ISBN: 978-1-118-38798-6. Advanced Statistics with Applications in R fills the gap between several excellent theoretical statistics textbooks and many applied statistics books where teaching reduces to using existing packages. This book looks at what is under the hood. Many statistics issues including the recent crisis with p-value are...
John Wiley & Sons Inc., 2020. — 2080 p. — ISBN: 978-1-118-38798-6. Advanced Statistics with Applications in R fills the gap between several excellent theoretical statistics textbooks and many applied statistics books where teaching reduces to using existing packages. This book looks at what is under the hood. Many statistics issues including the recent crisis with p-value are...
CRC Press, 2013. — 350 p. — ISBN: 1439875405, 9781439875407 R is the amazing, free, open-access software package for scientific graphs and calculations used by scientists worldwide. The R Student Companion is a student-oriented manual describing how to use R in high school and college science and mathematics courses. Written for beginners in scientific computation, the book...
John Wiley & Sons, Inc., 2014. — 308 p. — ISBN: 978-1-118-42254-0. Written at a readily accessible level, Basic Data Analysis for Time Series with R emphasizes the mathematical importance of collaborative analysis of data used to collect increments of time or space. Balancing a theoretical and practical approach to analyzing data within the context of serial correlation, the...
John Wiley & Sons, Inc., 2014. — 308 p. — ISBN: 978-1-118-42254-0. Written at a readily accessible level, Basic Data Analysis for Time Series with R emphasizes the mathematical importance of collaborative analysis of data used to collect increments of time or space. Balancing a theoretical and practical approach to analyzing data within the context of serial correlation, the...
Wiley, 2014. — 320 p. — ISBN: 9781118422540
Written at a readily accessible level, Basic Data Analysis for Time Series with R emphasizes the mathematical importance of collaborative analysis of data used to collect increments of time or space. Balancing a theoretical and practical approach to analyzing data within the context of serial correlation, the book presents a coherent...
Wiley, 2014. — 320 p. — ISBN: 1118422546, 9781118422540
Written at a readily accessible level, Basic Data Analysis for Time Series with R emphasizes the mathematical importance of collaborative analysis of data used to collect increments of time or space. Balancing a theoretical and practical approach to analyzing data within the context of serial correlation, the book presents...
2nd ed. — Wiley, 2015. — 432 p. — ISBN: 1119055806, 9781119055853
Mastering R has never been easier. Picking up R can be tough, even for seasoned statisticians and data analysts. R For Dummies, 2nd Edition provides a quick and painless way to master all the R you′ll ever need. Requiring no prior programming experience and packed with tons of practical examples, step–by–step...
2nd ed. — Wiley, 2015. — 432 p. —ISBN: 1119055806, 9781119055839 (EPUB) Mastering R has never been easier. Picking up R can be tough, even for seasoned statisticians and data analysts. R For Dummies, 2nd Edition provides a quick and painless way to master all the R you′ll ever need. Requiring no prior programming experience and packed with tons of practical examples,...
Springer, 2021. — 266 p. — ISBN 978-3-030-73479-4. This book provides a compact introduction to the bootstrap method. In addition to classical results on point estimation and test theory, multivariate linear regression models and generalized linear models are covered in detail. Special attention is given to the use of bootstrap procedures to perform goodness-of-fit tests to...
Springer, 2021. — 266 p. — ISBN 978-3-030-73479-4. This book provides a compact introduction to the bootstrap method. In addition to classical results on point estimation and test theory, multivariate linear regression models and generalized linear models are covered in detail. Special attention is given to the use of bootstrap procedures to perform goodness-of-fit tests to...
Routledge, 2025. — 377 p. This book provides a conceptual introduction to regression analysis and Machine Learning and their applications in education research. It discusses their diverse applications, including its role in predicting future events based on the current data or explaining why some phenomena occur. These identified important predictors provide data-based evidence...
Springer, 2016. — 529 p. — ISBN: 978-981-10-0888-7. This book discusses examples in parametric inference with R. Combining basic theory with modern approaches, it presents the latest developments and trends in statistical inference for students who do not have an advanced mathematical and statistical background. The topics discussed in the book are fundamental and common to...
Wiley, 2014. — 518 p. — ISBN: 9781118241257
An introduction to probability at the undergraduate level
Chance and randomness are encountered on a daily basis. Authored by a highly qualified professor in the field, Probability: With Applications and R delves into the theories and applications essential to obtaining a thorough understanding of probability.
With real-life...
Traditional Rasch estimation of the item and student parameters via marginal maximum likelihood, joint maximum likelihood or conditional maximum likelihood, assume individuals in clustered settings are uncorrelated and items within a test that share a grouping structure are also uncorrelated. These assumptions are often violated, particularly in educational testing situations, in...
Packt Publishing, 2014. — 364 p. — ISBN: 9781783984367
R is a simple, effective, and comprehensive programming language and environment that is gaining ever-increasing popularity among data analysts.
This book provides you with the necessary skills to successfully carry out complete geospatial data analyses, from data import to presentation of results.
Learning R for...
Chapman and Hall/CRC, 2014. — 554 p. — ISBN: 1466502258, 9781466502253 Describes the major statistical techniques for inferring model parameters, with a focus on the MLE and QMLE Introduces concepts of nonparametric statistics, including smoothing splines Covers HMM models, including Gaussian linear, switching Markovian, and nonlinear state space models Present direct...
2nd ed. — CRC Press, 2012. — 1036 p. — ISBN: 1439809755, 9781439809754, EISBN: 9781439809761
Richly illustrated in color, Statistics and Data Analysis for Microarrays Using R and Bioconductor, Second Edition provides a clear and rigorous description of powerful analysis techniques and algorithms for mining and interpreting biological information. Omitting tedious details, heavy...
Multivariate analyses are well known and widely used to identify and understand structures of ecological communities. The ade4 package for the R statistical environment proposes a great number of multivariate methods. Its implementation follows the tradition of the French school of "Analyse des Donnees" and is based on the use of the duality diagram. We present the theory of the...
2nd Edition. — Wiley, 2016. — 496 p. — ISBN: 0470699620, 9780470699621
A thoroughly revised and updated edition of this introduction to modern statistical methods for shape analysis.
Shape analysis is an important tool in the many disciplines where objects are compared using geometrical features. Examples include comparing brain shape in schizophrenia, investigating protein...
CRC Press, 2024. — 396 p. — ISBN 978-1-032-27716-5. Exploring Operations Research with R shows how the R programming language can be a valuable tool – and way of thinking – which can be successfully applied to the field of operations research (OR). This approach is centred on the idea of the future OR professional as someone who can combine knowledge of key OR techniques (e.g.,...
Springer Nature, 2016. — 176 p. — (Lecture Notes in Social Networks). — ISBN10: 3319340417, ISBN13: 978-3-319-34041-8. This new interdisciplinary work presents system dynamics as a powerful approach to enable analysts build simulation models of social systems, with a view toward enhancing decision making. Grounded in the feedback perspective of complex systems, the book...
Springer, 2018. — 573 p. — (Springer Texts in Statistics). — ISBN: 1441901175. This textbook presents an introduction to multiple linear regression, providing real-world data sets and practice problems. A practical working knowledge of applied statistical practice is developed through the use of these data sets and numerous case studies. The authors include a set of practice...
Springer, 2018. — 573 p. — (Springer Texts in Statistics). — ISBN: 1441901175. This textbook presents an introduction to multiple linear regression, providing real-world data sets and practice problems. A practical working knowledge of applied statistical practice is developed through the use of these data sets and numerous case studies. The authors include a set of practice...
Springer, 2018. — 289 p. — ISBN: 3319756672. This book is a comprehensive guide to qualitative comparative analysis (QCA) using R. Using Boolean algebra to implement principles of comparison used by scholars engaged in the qualitative study of macro social phenomena, QCA acts as a bridge between the quantitative and the qualitative traditions. The QCA package for R, created by...
Leanpub, 2016. — 301 p. —ISBN: n/a
The growth of R has been phenomenal over the past several years, reaching out past academia and research labs into the daily activities of business and industry. More and more line-level analysts are supplementing their SQL or Excel skills with R, and more and more businesses are hiring analysts with R skills to bridge the increasing gap...
225 pages
This manuscript has been partitioned into four separate sections. The first section introduces R as a language and a tool and covers some basic topics that are required to get one going. The next section contains eleven chapters that target some particular aspect of biological inquiry from the perspective of the kind of data that will be analyzed. The third section...
Springer, 2013. – 235 p. 7 illus., 4 illus. in color. – ISBN: 1461468671, 9781461468677 Rcpp is the glue that binds the power and versatility of R with the speed and efficiency of C++. With Rcpp, the transfer of data between R and C++ is nearly seamless, and high-performance statistical computing is finally accessible to most R users. Rcpp should be part of every statistician's...
Mathematisches Institut, Justus-Liebig-Universität Gießen, 2016. — 366 S. Einführung. Datenobjekte: Strukturen, Attribute, elementare Operationen. Import und Export von Daten bzw. ihre Ausgabe am Bildschirm. Elementare explorative Grafiken. Wahrscheinlichkeitsverteilungen und Pseudo-Zufallszahlen. Programmieren in R. Weiteres zur elementaren Grafik. Zur para- und...
Guilford Press, 2022. — 196 p. — ISBN 978-1462549894 (hardcover), 978-1462549887 (paperback). A friendly, straightforward guide that does not assume knowledge of programming, this book helps new R users hit the ground running. Eric L. Einspruch provides an overview of the software and shows how to download and install R, RStudio, and R packages. Featuring example code,...
Guilford Press, 2022. — 196 p. — ISBN 978-1462549887. A friendly, straightforward guide that does not assume knowledge of programming, this book helps new R users hit the ground running. Eric L. Einspruch provides an overview of the software and shows how to download and install R, RStudio, and R packages. Featuring example code, screenshots, tips, learning exercises, and...
2nd ed. — New York: Chapman and Hall/CRC, CRC Press, 2017. — 427 p. — ISBN13: 978-1-138-63197-7. The R Primer provides a collection of concise examples with solutions and interpretations of R problems frequently encountered by new users of this statistical software. Maintaining all the material from the first edition and adding substantial new material, the 2nd edition of The R...
CRC Press, 2012. — 299 p. — ISBN: 1439862060, 1606238744 Newcomers to R are often intimidated by the command-line interface, the vast number of functions and packages, or the processes of importing data and performing a simple statistical analysis. The R Primer provides a collection of concise examples and solutions to R problems frequently encountered by new users of this...
SAGE Publications, 2021. — 529 p. — ISBN 978-1-5264-5996-1. This book shows students how to recode data, combine data from different sources, document data, and import data from statistical packages other than R. It explores both qualitative and quantitative data and is packed with a range of supportive learning features such as code examples, overview boxes, images, tables,...
SAGE Publications Ltd, 2021. — 272 p. — ISBN 978-1-5264-5996-1. This book shows students how to recode data, combine data from different sources, document data, and import data from statistical packages other than R. It explores both qualitative and quantitative data and is packed with a range of supportive learning features such as code examples, overview boxes, images,...
SAGE Publications Ltd, 2021. — 272 p. — ISBN 978-1-5264-5996-1. This book shows students how to recode data, combine data from different sources, document data, and import data from statistical packages other than R. It explores both qualitative and quantitative data and is packed with a range of supportive learning features such as code examples, overview boxes, images,...
O’Reilly Media, 2015. — 65 p. — (Compliments of Microsoft). — ISBN: 9781491919590 Recently, Microsoft launched the Azure Machine Learning cloud platform — Azure ML. Azure ML provides an easy-to-use and powerful set of cloud-based data transformation and machine learning tools. This report covers the basics of manipulating data, as well as constructing and evaluating models in...
Springer, 2013. — 195 p. — ISBN: 1447153278, 9781447153276
When encountering difficult concepts in computer programming for the first time, many students struggle to find simple explanations in their textbooks. Information can also be hard to find on common mistakes made when implementing algorithms and writing programs.
This concise and easy-to-follow textbook/guide provides...
Springer London, 2013. — 182 p. When encountering difficult concepts in computer programming for the first time, many students struggle to find simple explanations in their textbooks. Information can also be hard to find on common mistakes made when implementing algorithms and writing programs. This concise and easy-to-follow textbook/guide provides a student-friendly introduction...
Routledge, 2020. — 304 p. — ISBN: 978-0367422240 (hardback), ISBN: 978-0367422257 (paperback), ISBN: 978-0367822842 (ebook). Data Science in Education Using R is the go-to reference for learning data science in the education field. The book answers questions like: What does a data scientist in education do? How do I get started learning R, the popular open-source statistical...
Independently published, 2024. — 283 p. Welcome to "R Programming for Data Science", a comprehensive guide that will take you on a journey from the basics of R programming to advanced techniques for working with data in the context of Data Science. As someone interested in Data Science, you're likely aware of the importance of having a strong foundation in programming and data...
CRC Press, 2011. — 556 p. — (The R Series). — ISBN: 1420066501, 9781420066500. With the advancement of statistical methodology inextricably linked to the use of computers, new methodological ideas must be translated into usable code and then numerically evaluated relative to competing procedures. In response to this, Statistical Computing in C++ and R concentrates on the...
Springer, 2011. — 288 p. — ISBN 1441996494 The majority of data sets collected by researchers in all disciplines are multivariate, meaning that several measurements, observations, or recordings are taken on each of the units in the data set. These units might be human subjects, archaeological artifacts, countries, or a vast variety of other things. In a few cases, it may be...
Springer, 2001. — 487 p. — (Statistics for Biology and Health). — ISBN: 1441931767, 9781441931764, 9781475732856 Each chapter will consist of basic statistical theory, simple examples of S-PLUS code, more complex examples of S-PLUS code, and exercises. All data sets will be taken from genuine medical investigations and will be made available, if possible, on a web site. All...
CRC Press LLC, 2019. — 245 p. — ISBN: 9781420057492, 1420057499, 1584882808. This book contains information obtained from authentic and highly regarded sources. Reprinted material is quoted with permission, and sources are indicated. A wide variety of references are listed. Reasonable efforts have been made to publish reliable data and information, but the author and the...
Chapman and Hall/CRC – 2001, 256 pages ISBN: 1584882808, 978-1584882800 Since the first edition of this book was published, S-PLUS has evolved markedly with new methods of analysis, new graphical procedures, and a convenient graphical user interface (GUI). Today, S-PLUS is the statistical software of choice for many applied researchers in disciplines ranging from finance to...
Springer, 2007. — 230 p. — ISBN 1852338822 Most data sets collected by researchers are multivariate, and in the majority of cases the variables need to be examined simultaneously to get the most informative results. This requires the use of one or other of the many methods of multivariate analysis, and the use of a suitable software package such as S-PLUS or R. In this book the...
2nd edition. — Chapman and Hall/CRC, 2010. — 376 p. — ISBN 1420079336. A Proven Guide for Easily Using R to Effectively Analyze Data. Like its bestselling predecessor, A Handbook of Statistical Analyses Using R, Second Edition provides a guide to data analysis using the R system for statistical computing. Each chapter includes a brief account of the relevant statistical...
Chapman & Hall – 2010, 424 pages ISBN: 1420061178 Design Principles and Analysis Techniques for HRQoL Clinical TrialsSAS, R, and SPSS examples realistically show how to implement methods Focusing on longitudinal studies, Design and Analysis of Quality of Life Studies in Clinical Trials, Second Edition addresses design and analysis aspects in enough detail so that readers can...
CRC Press, 2011. — 264 p. — ISBN: 1439817669, 9781439817667 While theoretical statistics relies primarily on mathematics and hypothetical situations, statistical practice is a translation of a question formulated by a researcher into a series of variables linked by a statistical tool. As with written material, there are almost always differences between the meaning of the...
ISBN: 158488424X | Издательство: Chapman & Hall/CRC | Год: 2005 | Страницы: 312 | Язык: Английский |
Linear models are central to the practice of statistics and form the foundation of a vast range of statistical methodologies. Julian J. Faraway's critically acclaimed Linear Models with R examined regression and analysis of variance, demonstrated the different methods available,...
Chapman & Hall/CRC, 2004. - 240 pages. This textbook focuses on the practice of regression and analysis of variance. Readers will learn which methods are available and the various situations in which they can be applied. Numerous examples clarify the use of the techniques and demonstrate what conclusions can be made. The author places less emphasis on mathematical theory,...
2nd ed. — CRC Press, 2014. — 284 p. — ISBN: 1439887330, 9781439887332.
Part of the core of statistics, linear models are used to make predictions and explain the relationship between the response and the predictors. Understanding linear models is crucial to a broader competence in the practice of statistics. Linear Models with R, Second Edition explains how to use linear...
There are many books on regression and analysis of variance. These books expect different levels of preparedness and place different emphases on the material. This book is not introductory. It presumes some knowledge of basic statistical theory and practice. Students are expected to know the essentials of statistical inference like estimation, hypothesis testing and confidence...
Rmetrics Association & Finance Online, 2010. – 219 p. – ISBN: N/A Tinn-R provides not only an R-aware editor and submission process to the system, but a comprehensive project management system as well, including editing facilities for many types of file other than R scripts. Although most users would begin using it as a script editor for R alone, as they become familiar with...
Grant V. Farnsworth, 2008. – 50 p. – ISBN: N/A R is much more more flexible than most software used by econometricians because it is a modern mathematical programming language, not just a program that does regressions and tests. This means our analysis need not be restricted to the functions included in the default package. There is an extensive and constantly expanding...
San Francisco: No Starch Press, 2023. — 265 p. — ISBN 1718503083. This advanced machine learning book highlights many algorithms from a geometric perspective and introduces tools in network science, metric geometry, and topological data analysis through practical application. Whether you’re a mathematician, seasoned data scientist, or marketing professional , you’ll find The...
No Starch Press, 2023. — 264 p. — ISBN-13 978-1-7185-0309-0. Whether you’re a mathematician, seasoned data scientist, or marketing professional, you’ll find The Shape of Data to be the perfect introduction to the critical interplay between the geometry of data structures and Machine Learning. This book’s extensive collection of case studies (drawn from medicine, education,...
No Starch Press, 2023. — 264 p. — ISBN-13: 978-1-7185-0309-0. Whether you’re a mathematician, seasoned data scientist, or marketing professional, you’ll find The Shape of Data to be the perfect introduction to the critical interplay between the geometry of data structures and Machine Learning. This book’s extensive collection of case studies (drawn from medicine, education,...
No Starch Press, 2023. — 264 p. — ISBN-13: 978-1-7185-0309-0. Whether you’re a mathematician, seasoned data scientist, or marketing professional, you’ll find The Shape of Data to be the perfect introduction to the critical interplay between the geometry of data structures and Machine Learning. This book’s extensive collection of case studies (drawn from medicine, education,...
CRC Press, 2022. — 399 p. — ISBN 978-0-367-46602-2. Presented in full color, Engineering Production-Grade Shiny Apps helps people build production-grade shiny applications, by providing advice, tools, and a methodology to work on web applications with R. This book starts with an overview of the challenges which arise from any big web application project: organizing work,...
Cambridge University Press – 2012, 494 pages ISBN: 052176727X, 9780521767279 Modern astronomical research is beset with a vast range of statistical challenges, ranging from reducing data from megadatasets to characterizing an amazing variety of variable celestial objects or testing astrophysical theory. Linking astronomy to the world of modern statistics, this volume is a...
Packt Publishing, 2015. — 242 p. — ISBN: 1784395803, 9781784395803. Qlik Sense Desktop, the personal and free version of Qlik Sense, is a powerful tool for business analysts to analyze data and create useful data applications. Rattle, developed in R, is a GUI used for data mining and complements Qlik Sense Desktop very well. By combining Rattle and Qlik Sense Desktop, a...
London: SAGE Publications Ltd, 2012. — 992 p. — ISBN: 1446200450, 9781446200452 The R version of Andy Field's hugely popular Discovering Statistics Using SPSS takes students on a journey of statistical discovery using the freeware R. Like its sister textbook, Discovering Statistics Using R is written in an irreverent style and follows the same ground-breaking structure and...
SAGE Publications Ltd, 2012. — 992 p. — ISBN: 1446200450, 9781446200452
The R version of Andy Field's hugely popular Discovering Statistics Using SPSS takes students on a journey of statistical discovery using the freeware R. Like its sister textbook, Discovering Statistics Using R is written in an irreverent style and follows the same ground-breaking structure and pedagogical...
Chapman and Hall/CRC, 2015. — 248 p. — (The R Series). — ISBN: 1498712363, 9781498712361 A Thorough Guide to Elementary Matrix Algebra and Implementation in R Basics of Matrix Algebra for Statistics with R provides a guide to elementary matrix algebra sufficient for undertaking specialized courses, such as multivariate data analysis and linear models. It also covers advanced...
3rd. ed. - Boca Raton: CRC Press, 2024. — 339 p. — (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences). — ISBN13: 978-1-003-33171-1. Like its bestselling predecessor, Multilevel Modeling Using R, Third Edition provides the reader with a helpful guide to conducting multilevel data modeling using the R software environment. After reviewing standard linear models...
2nd Edition. — CRC Press, Taylor & Francis Group, 2019. — 253 p. — ISBN13: 978-1-1384-8071-1. After reviewing standard linear models, the authors present the basics of multilevel models and explain how to fit these models using R. They then show how to employ multilevel modeling with longitudinal data and demonstrate the valuable graphical options in R. The book also describes...
CRC Press, 2014. — 226 p. — ISBN: 1466515856, 9781466515857 A powerful tool for analyzing nested designs in a variety of fields, multilevel/hierarchical modeling allows researchers to account for data collected at multiple levels. Multilevel Modeling Using R provides you with a helpful guide to conducting multilevel data modeling using the R software environment. After...
Routledge, 2015. — 340 p. — ISBN: 0415832446, 9780415832441 This book demonstrates how to conduct latent variable modeling (LVM) in R by highlighting the features of each model, their specialized uses, examples, sample code and output, and an interpretation of the results. Each chapter features a detailed example including the analysis of the data using R, the relevant theory,...
Packt Publishing, 2016. — 446 p. — ISBN: 1785288148, 9781785288142
Frequently the tool of choice for academics, R has spread deep into the private sector and can be found in the production pipelines at some of the most advanced and successful enterprises. The power and domain-specificity of R allows the user to express complex analytics easily, quickly, and succinctly. With...
Packt Publishing, 2018. - 570p. - ISBN: 1788393724 2nd.ed. Learn, by example, the fundamentals of data analysis as well as several intermediate to advanced methods and techniques ranging from classification and regression to Bayesian methods and MCMC, which can be put to immediate use. Frequently the tool of choice for academics, R has spread deep into the private sector and...
Packt Publishing, 2018. - 570p. - ISBN: 1788393724 2nd.ed. Learn, by example, the fundamentals of data analysis as well as several intermediate to advanced methods and techniques ranging from classification and regression to Bayesian methods and MCMC, which can be put to immediate use. Frequently the tool of choice for academics, R has spread deep into the private sector and...
New York: Packt Publishing , 2016. — 446 p.
Key Features:
Load, manipulate and analyze data from different sources,
Gain a deeper understanding of fundamentals of applied statistics,
A practical guide to performing data analysis in practice.
Book Description:
Frequently the tool of choice for academics, R has spread deep into the private sector and can be found in the...
Packt Publishing, 2017. — 1065 p. — ISBN: 978-1-78829-037-1. Master the art of predictive modeling Predictive analytics is a field that uses data to build models that predict a future outcome of interest. It can be applied to a range of business strategies and has been a key player in search advertising and recommendation engines. The power and domain-specificity of R allows...
Packt Publishing, 2017. — 1065 p. — ISBN: 978-1-78829-037-1. Master the art of predictive modeling Predictive analytics is a field that uses data to build models that predict a future outcome of interest. It can be applied to a range of business strategies and has been a key player in search advertising and recommendation engines. The power and domain-specificity of R allows...
Packt Publishing, 2017. — 1065 p. — ISBN: 978-1-78829-037-1. True PDF Master the art of predictive modeling Predictive analytics is a field that uses data to build models that predict a future outcome of interest. It can be applied to a range of business strategies and has been a key player in search advertising and recommendation engines. The power and domain-specificity of R...
Packt Publishing, 2018. — 570 p. — ISBN: 1788393724. Learn, by example, the fundamentals of data analysis as well as several intermediate to advanced methods and techniques ranging from classification and regression to Bayesian methods and MCMC, which can be put to immediate use. Frequently the tool of choice for academics, R has spread deep into the private sector and can be...
Packt Publishing, 2016. — 1783 p. Master the art of building analytical models using R About This Book Load, wrangle, and analyze your data using the world's most powerful statistical programming language Build and customize publication-quality visualizations of powerful and stunning R graphs Develop key skills and techniques with R to create and customize data mining...
Packt Publishing, 2016. — 1783 p. Master the art of building analytical models using R About This Book Load, wrangle, and analyze your data using the world's most powerful statistical programming language Build and customize publication-quality visualizations of powerful and stunning R graphs Develop key skills and techniques with R to create and customize data mining...
Packt Publishing, 2016. — 1783 p. Master the art of building analytical models using R About This Book Load, wrangle, and analyze your data using the world's most powerful statistical programming language Build and customize publication-quality visualizations of powerful and stunning R graphs Develop key skills and techniques with R to create and customize data mining...
Packt Publishing, 2016. — 1783 p. Master the art of building analytical models using R About This Book Load, wrangle, and analyze your data using the world's most powerful statistical programming language Build and customize publication-quality visualizations of powerful and stunning R graphs Develop key skills and techniques with R to create and customize data mining...
History of Programs Why shouldn’t I use R/S/S-Plus? Why should I use R/S/S-Plus? Which software package should I get and where do I get it? Where do I obtain more info on using R? How does R work? What do I need to know to get started? I can’t always see my data, how do I know what it looks like? Ok, but I need to know how to get my data into R. How can I do this? How do I get...
SAGE Publications, 2019. — 322 p. — ISBN 978-1-5264-1150-1. "One of the few books that provide an accessible introduction to quantitative data analysis with R. A particular strength of the text is the focus on ′real world′ examples which help students to understand why they are learning these methods." - Dr Roxanne Connelly, University of York Relevant, engaging, and packed...
Packt Publishing, 2015. — 414 p. — ISBN: 1783982802, 9781783982806 R offers a free and open source environment that is perfect for both learning and deploying predictive modeling solutions in the real world. With its constantly growing community and plethora of packages, R offers the functionality to deal with a truly vast array of problems. Master the craft of predictive...
Packt Publishing, 2017. — 448 p. — ISBN: 978-1-78712-139-3. Master the craft of predictive modeling in R by developing strategy, intuition, and a solid foundation in essential concepts R offers a free and open source environment that is perfect for both learning and deploying predictive modeling solutions. With its constantly growing community and plethora of packages, R offers...
Packt Publishing, 2017. — 448 p. — ISBN: 978-1-78712-139-3. Master the craft of predictive modeling in R by developing strategy, intuition, and a solid foundation in essential concepts R offers a free and open source environment that is perfect for both learning and deploying predictive modeling solutions. With its constantly growing community and plethora of packages, R offers...
Springer, 2009. — 264 p. — ISBN 0387895531 The vast array of molecular level information now available presents exciting opportunities to characterize the genetic underpinnings of complex diseases while discovering novel biological pathways to disease progression. In this introductory graduate level text, Dr. Foulkes elucidates core concepts that undergird the wide range of...
London: Sage Publications Inc., 2002. — 328 p. — ISBN: 0761922792. The book provides a valuable supplement to texts on regression analysis and linear models by showing readers how to put into practice the strategies and techniques involved in modern statistical methodology. It explains clearly the use of a very sophisticated and powerful statistical software system. And, while...
Sage Publications, Inc | 2002 | ISBN: 0761922792 | 328 pages | "The text does an outstanding job of providing the necessary mechanics and theory of the S language. I will use this book in every such course that I teach from this point on." -JEFF GILL, University of Florida, Gainesville "The book provides a valuable supplement to texts on regression analysis and linear models by...
CRC Press, 2018. — 223 p. — (R Series). — ISBN: 9781498741903. This book provides a general introduction to the R Commander graphical user interface (GUI) to R for readers who are unfamiliar with R. It is suitable for use as a supplementary text in a basic or intermediate-level statistics course. It is not intended to replace a basic or other statistics text but rather to...
CRC Press, 2017. — 394 p. — (R Series). — ISBN: 9781498741903 This book provides a general introduction to the R Commander graphical user interface (GUI) to R for readers who are unfamiliar with R. It is suitable for use as a supplementary text in a basic or intermediate-level statistics course. It is not intended to replace a basic or other statistics text but rather to...
Internet, 2017. — 102 p. — ISBN: N\A As its title implies, Using the R Commander (Fox, 2017) is written from the point of view of the user of the R Commander graphical user interface (GUI) to R. The book includes a brief introduction to the use of R Commander plug-in packages, employing the RcmdrPlugin.TeachingDemos and RcmdrPlugin.survival packages as examples. In contrast,...
Springer – 2010, 323 pages
ISBN: 1441907416
This book presents a thorough treatment and unified coverage of Bayesian item response modeling with applications in a variety of disciplines, including education, medicine, psychology, and sociology. Breakthroughs in computing technology have made the Bayesian approach particularly useful for many response modeling problems. Free...
Variance component models are generally accepted for the analysis of hierarchical structured data. A shortcoming is that outcome variables are still treated as measured without an error. Unreliable variables produce biases in the estimates of the other model parameters. The variability of the relationships across groups and the group-effects on individuals' outcomes differ...
In computerized testing, the test takers' responses as well as their response times on the items are recorded. The relationship between response times and response accuracies is complex and varies over levels of observation. For example, it takes the form of a tradeoff between speed and accuracy at the level of a fixed person but may become a positive correlation for a population...
SAGE, 2018. - 608p. - ISBN: 1544336470 3rd.ed. An R Companion to Applied Regression is a broad introduction to the R statistical computing environment in the context of applied regression analysis. John Fox and Sanford Weisberg provide a step-by-step guide to using the free statistical software R, an emphasis on integrating statistical computing in R with the practice of data...
2nd. edition. — SAGE Publications, Ins., 2011. — 472 p. — ISBN13: 978-141297514-8. This is a broad introduction to the R statistical computing environment in the context of applied regression analysis. It is a thoroughly updated edition of John Fox′s bestselling text An R and S-Plus Companion to Applied Regression (SAGE, 2002). The Second Edition is intended as a companion to...
2nd. edition. — SAGE Publications, Ins., 2011. — 472 p. — ISBN13: 978-141297514-8. This is a broad introduction to the R statistical computing environment in the context of applied regression analysis. It is a thoroughly updated edition of John Fox′s bestselling text An R and S-Plus Companion to Applied Regression (SAGE, 2002). The Second Edition is intended as a companion to...
2nd. edition. — SAGE Publications, Ins., 2011. — 472 p. — ISBN13: 978-141297514-8. This is a broad introduction to the R statistical computing environment in the context of applied regression analysis. It is a thoroughly updated edition of John Fox′s bestselling text An R and S-Plus Companion to Applied Regression (SAGE, 2002). The Second Edition is intended as a companion to...
This is a broad introduction to the R statistical computing environment in the context of applied regression analysis. It is a thoroughly updated edition of John Fox's bestselling text An R and S-Plus Companion to Applied Regression (SAGE, 2002). The Second Edition is intended as a companion to any course on modern applied regression analysis . The authors provide a...
Springer Spektrum, 2016. — 319 p. — (Springer-Lehrbuch). — ISBN: 9783662471173, 9783662471180
German.
Informationen aus Daten zu gewinnen und einen Datensatz systematisch zu analysieren ist (k)eine Kunst. Für die aktuelle Version von „Statistik angewandt“ wurden zahlreiche Features ergänzt, um es dem Leser noch einfacher zu machen, Datensätze systematisch zu analysieren....
Addison-Wesley Professional, 2018. — 384 p. — ISBN: 978-0135133101. Using data science techniques, you can transform raw data into actionable insights for domains ranging from urban planning to precision medicine. Programming Skills for Data Science brings together all the foundational skills you need to get started, even if you have no programming or data science experience....
Addison-Wesley Professional, 2018. — 399 p. — (Addison-Wesley Data & Analytics Series) — ISBN: 0135133106, 9780135133101. Using data science techniques, you can transform raw data into actionable insights for domains ranging from urban planning to precision medicine. Programming Skills for Data Science brings together all the foundational skills you need to get started, even if...
Addison-Wesley Professional, 2019. — 385 p. — (Addison-Wesley Data & Analytics Series) — ISBN 0135133106, 9780135133101. The Foundational Hands-On Skills You Need to Dive into Data Science “Freeman and Ross have created the definitive resource for new and aspiring data scientists to learn foundational programming skills.” –From the foreword by Jared Lander, series editor Using...
Addison-Wesley Professional, 2019. — 385 p. — (Addison-Wesley Data & Analytics Series) — ISBN 0135133106, 9780135133101. The Foundational Hands-On Skills You Need to Dive into Data Science “Freeman and Ross have created the definitive resource for new and aspiring data scientists to learn foundational programming skills.” –From the foreword by Jared Lander, series editor Using...
Addison-Wesley Professional, 2019. — 385 p. — (Addison-Wesley Data & Analytics Series) — ISBN 0135133106, 9780135133101. The Foundational Hands-On Skills You Need to Dive into Data Science “Freeman and Ross have created the definitive resource for new and aspiring data scientists to learn foundational programming skills.” –From the foreword by Jared Lander, series editor Using...
Cambridge University Press, 2009. — 585 p. — ISBN 9780521760119. Statistical techniques can be used to address new situations. This is important in a rapidly evolving risk management and financial world. Analysts with a strong statistical background understand that a large data set can represent a treasure trove of information to be mined and can yield a strong competitive...
Springer, 2013. — 95 p. 42 illus., 17 illus. in color— ISBN: 1447149491, 9781447149507 This book introduces the statistical software R to the image processing community in an intuitive and practical manner. R brings interesting statistical and graphical tools which are important and necessary for image processing techniques. Furthermore, it has been proved in the literature...
Chapman and Hall/CRC, 2016. — 545 p. — (Chapman & Hall/CRC Texts in Statistical Science). — ISBN10: 149872583X. An Applied Treatment of Modern Graphical Methods for Analyzing Categorical Data Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data presents an applied treatment of modern methods for the analysis of categorical data,...
Independently published, Gagolewski Marek, 2023. — 457 p. — ISBN 978-0-6455719-2-9 (v1.0.0.9002). Deep R Programming is a comprehensive and in-depth introductory course on one of the most popular languages for Data Science. It equips ambitious students, professionals, and researchers with the knowledge and skills to become independent users of this potent environment so that...
Springer, 2013. – 556 p. – ISBN: 1461438993, 9781461439004 Linear mixed-effects models (LMMs) are an important class of statistical models that can be used to analyze correlated data. Such data are encountered in a variety of fields including biostatistics, public health, psychometrics, educational measurement, and sociology. This book aims to support a wide range of uses for...
Wiley – 2006, 376 pages ISBN-10: 0470014962 Mixed modelling is one of the most promising and exciting areas of statistical analysis, enabling more powerful interpretation of data through the recognition of random effects. However, many perceive mixed modelling as an intimidating and specialized technique. This book introduces mixed modelling analysis in a simple and...
CRC Pres, 2013. — 294 p. — ISBN: 1466572841, 9781466572843 Bringing together computational research tools in one accessible source, Reproducible Research with R and RStudio guides you in creating dynamic and highly reproducible research. Suitable for researchers in any quantitative empirical discipline, it presents practical tools for data collection, data analysis, and the...
2nd ed. — Chapman and Hall/CRC, 2016. — 313 p. — ISBN: 1498715370, 9781498715379 All the Tools for Gathering and Analyzing Data and Presenting Results Reproducible Research with R and RStudio, Second Edition brings together the skills and tools needed for doing and presenting computational research. Using straightforward examples, the book takes you through an entire...
3rd ed. — Chapman and Hall/CRC, 2020. — 299 p. — (R Series) — ISBN: 0367144026,9780367144029. Reproducible Research with R and R Studio, Third Edition brings together the skills and tools needed for doing and presenting computational research. Using straightforward examples, the book takes you through an entire reproducible research workflow. This practical workflow enables you...
2nd.ed. — Packt, 2017. — 523 p. — ISBN: 978-1787124479. Key Features Analyse your data using the popular R packages with ready-to-use and customizable recipes Find meaningful insights from your data and generate dynamic reports A practical guide to help you put your data analysis skills in R to practical use Book Description This book will show you how you can put your data...
2nd.ed. — Packt, 2017. — 523 p. — ISBN: 978-1787124479. Key Features Analyse your data using the popular R packages with ready-to-use and customizable recipes Find meaningful insights from your data and generate dynamic reports A practical guide to help you put your data analysis skills in R to practical use Book Description This book will show you how you can put your data...
2nd.ed. — Packt, 2017. — 523 p. — ISBN: 978-1787124479. Key Features Analyse your data using the popular R packages with ready-to-use and customizable recipes Find meaningful insights from your data and generate dynamic reports A practical guide to help you put your data analysis skills in R to practical use Book Description This book will show you how you can put your data...
2nd.ed. — Packt, 2017. — 523 p. — ISBN: 978-1787124479. Only sample files! Key Features Analyse your data using the popular R packages with ready-to-use and customizable recipes Find meaningful insights from your data and generate dynamic reports A practical guide to help you put your data analysis skills in R to practical use Book Description This book will show you how you...
Wrox, 2012. – 618 p. – ISBN: 111816430X, 9781118164303 Conquer the complexities of this open source statistical language R is fast becoming the de facto standard for statistical computing and analysis in science, business, engineering, and related fields. This book examines this complex language using simple statistical examples, showing how R operates in a user-friendly...
Wrox – 2012, 504 pages ISBN: 111816430X, 9781118164303 Conquer the complexities of this open source statistical language R is fast becoming the de facto standard for statistical computing and analysis in science, business, engineering, and related fields. This book examines this complex language using simple statistical examples, showing how R operates in a user-friendly...
Wiley, 2014. — 576 p. — ISBN: 1118391411, 9781118391419 An essential library of basic commands you can copy and paste into R. The powerful and open-source statistical programming language R is rapidly growing in popularity, but it requires that you type in commands at the keyboard rather than use a mouse, so you have to learn the language of R. But there is a shortcut, and...
Wiley, 2014. — 576 p. — ISBN: 1118391411, 9781118391419 An essential library of basic commands you can copy and paste into R The powerful and open-source statistical programming language R is rapidly growing in popularity, but it requires that you type in commands at the keyboard rather than use a mouse, so you have to learn the language of R. But there is a shortcut, and...
Pelagic Publishing, 2023. — 384 p. — ISBN 978-1-78427-337-8. Введение в R: анализ и визуализация данных The modern world is awash with data. The R Project is a statistical environment and programming language that can help to make sense of it all. A huge open-source project, R has become enormously popular because of its power and flexibility. With R you can organise, analyse...
Packt Publishing, 2016. — 223 p. — ISBN10: 1785280252, ISBN13: 978-1785280252. True PDF Explore the world of Business Intelligence through the eyes of an analyst working in a successful and growing company. Learn R through use cases supporting different functions within that company. This book provides data-driven and analytically focused approaches to help you answer questions...
Packt Publishing, 2016. — 228 p. — ISBN13: 9781785280252. Learn how to leverage the power of R for Business Intelligence Explore the world of Business Intelligence through the eyes of an analyst working in a successful and growing company. Learn R through use cases supporting different functions within that company. This book provides data-driven and analytically focused...
Packt Publishing, 2016. — 228 p. — ISBN13: 9781785280252. Learn how to leverage the power of R for Business Intelligence Explore the world of Business Intelligence through the eyes of an analyst working in a successful and growing company. Learn R through use cases supporting different functions within that company. This book provides data-driven and analytically focused...
New York: Springer, 2009. — 220 p. — (Use R!) — ISBN13: 978-0387938363. Based on their extensive experience with teaching R and statistics to applied scientists, the authors provide a beginner's guide to R. To avoid the difficulty of teaching R and statistics at the same time, statistical methods are kept to a minimum. The text covers how to download and install R, import and...
Springer. 2005 . — 473 p. — ISBN 0387251464 Bioconductor is a widely used open source and open development software project for the analysis and comprehension of data arising from high-throughput experimentation in genomics and molecular biology. Bioconductor is rooted in the open source statistical computing environment R. This volume's coverage is broad and ranges across most...
Springer, 2020. — 107 p. — ISBN: 3030564843. This book offers an application-oriented guide to random forests: a statistical learning method extensively used in many fields of application, thanks to its excellent predictive performance, but also to its flexibility, which places few restrictions on the nature of the data used. Indeed, random forests can be adapted to both...
Springer, 2020. — 107 p. — (Use R!) — ISBN: 978-3-030-56485-8 (eBook). This book offers an application-oriented guide to random forests: a statistical learning method extensively used in many fields of application, thanks to its excellent predictive performance, but also to its flexibility, which places few restrictions on the nature of the data used. Indeed, random forests can...
Springer, 2020. — 107 p. — (Use R!) — ISBN: 978-3-030-56485-8 (eBook). This book offers an application-oriented guide to random forests: a statistical learning method extensively used in many fields of application, thanks to its excellent predictive performance, but also to its flexibility, which places few restrictions on the nature of the data used. Indeed, random forests can...
Springer, 2020. — 107 p. — (Use R!) — ISBN: 3030564843. This book offers an application-oriented guide to random forests: a statistical learning method extensively used in many fields of application, thanks to its excellent predictive performance, but also to its flexibility, which places few restrictions on the nature of the data used. Indeed, random forests can be adapted to...
Palgrave Macmillan, 2015. — 368 p. — ISBN: 1137354070, 9781137354075 Quantitative Trading with R offers readers a winning strategy for devising expertly-crafted and workable trading models using the R open-source programming language. Based on the author's own experience as a professor and high-frequency trader, this book provides a step-by-step approach to understanding...
Palgrave Macmillan, 2015. — 206 p. — ISBN: 978-1-137-43747-1 (eBook). Quantitative Trading with R offers readers a winning strategy for devising expertly-crafted and workable trading models using the R open-source programming language. Based on the author's own experience as a professor and high-frequency trader, this book provides a step-by-step approach to understanding...
Palgrave Macmillan, 2015. — 206 p. — ISBN: 978-1-137-43747-1 (eBook). Quantitative Trading with R offers readers a winning strategy for devising expertly-crafted and workable trading models using the R open-source programming language. Based on the author's own experience as a professor and high-frequency trader, this book provides a step-by-step approach to understanding...
Palgrave Macmillan, 2015. — 206 p. — ISBN: 978-1-137-43747-1 (eBook). Quantitative Trading with R offers readers a winning strategy for devising expertly-crafted and workable trading models using the R open-source programming language. Based on the author's own experience as a professor and high-frequency trader, this book provides a step-by-step approach to understanding...
London: Riutledge, 2013. - 312p.
This book prepares readers to analyze data and interpret statistical results using R more quickly than other texts. R is a challenging program to learn because code must be created to get started. To alleviate that challenge, Professor Gerbing developed lessR. LessR extensions remove the need to program. By introducing R through less R, readers...
CRC Press, 2020. — 249 p. — ISBN 9781138599635. R Visualizations: Derive Meaning from Data focuses on one of the two major topics of data analytics: data visualization, a.k.a., computer graphics. In the book, major R systems for visualization are discussed, organized by topic and not by system. Anyone doing data analysis will be shown how to use R to generate any of the basic...
CRC Press, 2020. — 252 p. — ISBN 9781138599635, EISBN 9780429470837. R Visualizations: Derive Meaning from Data focuses on one of the two major topics of data analytics: data visualization, a.k.a., computer graphics. In the book, major R systems for visualization are discussed, organized by topic and not by system. Anyone doing data analysis will be shown how to use R to...
2nd Edition. — Routledge, 2023. — 378 р. — ISBN: 978-1-032-24402-0. The new edition of this innovative book, R Data Analysis without Programming, prepares the readers to quickly analyze data and interpret statistical results using R. Professor Gerbing has developed lessR, a ground-breaking method in alleviating the challenges of R programming. The lessR extends R, removing the...
Chapman and Hall/CRC, 2020. — 252 p. — ISBN: 9781138599635, EISBN 9780429470837. R Visualizations: Derive Meaning from Data focuses on one of the two major topics of data analytics: data visualization, a.k.a., computer graphics. In the book, major R systems for visualization are discussed, organized by topic and not by system. Anyone doing data analysis will be shown how to use...
Packt Publishing, 2015. — 432 p. —ISBN: 1783555254, 9781783555253 Employ professional quantitative methods to answer scientific questions with a powerful open source data analysis environment, perform publication-quality science using R, use some of R's most powerful and least known features to solve complex scientific computing problems, learn how to create visual...
Springer, 2017. — 224 p. — ISBN: 978-981-10-6807-2. This book helps readers understand the mathematics of machine learning, and apply them in different situations. It is divided into two basic parts, the first of which introduces readers to the theory of linear algebra, probability, and data distributions and it’s applications to machine learning. It also includes a detailed...
Springer, 2019. — 259 р. — ISBN: 9811358494. Deep Learning with R introduces deep learning and neural networks using the R programming language. The book builds on the understanding of the theoretical and mathematical constructs and enables the reader to create applications on computer vision, natural language processing and transfer learning. Deep learning is a specific...
Springer, 2019. — 259 р. — ISBN: 9811358494. Deep Learning with R introduces deep learning and neural networks using the R programming language. The book builds on the understanding of the theoretical and mathematical constructs and enables the reader to create applications on computer vision, natural language processing and transfer learning. Deep learning is a specific...
Early Release - Raw & Unedited. — O’Reilly Media, 2016. — 120 p. — (Data Mining). — ISBN: 1491950781, Become a more productive programmer with Efficient R Programming. Drawing on years of experience teaching R courses, authors Colin Gillespie and Robin Lovelace give practical advice on a range of topics—from optimizing set-up of RStudio to leveraging C++—that make this book a...
O’Reilly Media, Inc., 2017. — 234 p. — ISBN: 1491950781, 9781491950784 There are many excellent R resources for visualization, data science, and package development. Hundreds of scattered vignettes, web pages, and forums explain how to use R in particular domains. But little has been written on how to simply make R work effectively—until now. This hands-on book teaches novices and...
O’Reilly Media, Inc., 2017. — 234 p. — ISBN: 1491950781, 9781491950784
There are many excellent R resources for visualization, data science, and package development. Hundreds of scattered vignettes, web pages, and forums explain how to use R in particular domains. But little has been written on how to simply make R work effectively—until now. This hands-on book teaches novices...
Springer, 2016. — 53 p. — (SpringerBriefs in Statistics). — ISBN: 3319457713
This book serves as a hands-on guide to the "acs" R package for demographers, planners, and other researchers who work with American Community Survey (ACS) data. It gathers the most common problems associated with using ACS data and implements functions as a package in the R statistical programming...
Packt Publishing, 2015. — 236 p. — ISBN: 1783989505, 9781783989508
R is an open source language for data analysis and graphics. It is platform-independent and allows users to load various packages as well as develop their own packages to interpret data better.
This book is packed with practical recipes, designed to provide you with all the guidance needed to get to grips with...
New York: Springer, 2017. — 282 p. This book describes how to use test equating methods in practice. The non-commercial software R is used throughout the book to illustrate how to perform different equating methods when scores data are collected under different data collection designs, such as equivalent groups design, single group design, counterbalanced design and non equivalent...
Springer International Publishing AG, 2017. — 217 p. — (Methodology of Educational Measurement and Assessment) — ISBN: 3319518224. This book describes how to use test equating methods in practice. The non-commercial software R is used throughout the book to illustrate how to perform different equating methods when scores data are collected under different data collection...
Wiley, 2013. – 216 p. – 2nd ed. – ISBN: 1118428218 A highly accessible alternative approach to basic statistics Praise for the First Edition: "Certainly one of the most impressive little paperback 200-page introductory statistics books that I will ever see...it would make a good nightstand book for every statistician."—Technometrics Written in a highly accessible style,...
CRC Press, 2022. — 400 p. — ISBN 9781003089032. Tree-based Methods for Statistical Learning in R provides a thorough introduction to both individual decision tree algorithms (Part I) and ensembles thereof (Part II). Part I of the book brings several different tree algorithms into focus, both conventional and contemporary. Building a strong foundation for how individual decision...
O’Reilly Media, 2014. — 248 p. — ISBN: 1449359019, 9781449359010 Learn how to program by diving into the R language, and then use your newfound skills to solve practical data science problems. With this book, you’ll learn how to load data, assemble and disassemble data objects, navigate R’s environment system, write your own functions, and use all of R’s programming tools....
2009. — 68 S. Variablen, Funktionen und Vektoren Rechnen mit R Variablen Funktionen definieren Vektoren und Vektoroperationen Bereits definierte Funktionen nutzen Hilfe und Erläuterungen finden Arbeiten mit Variablen- und Datentypen Grundlegende Datentypen Weitere Datentypen data.frame table matrix list Datenimport und -export Die read.table() Funktion Einlesen von anderen...
CRC Press, 2022. — 302 p. — ISBN 978-1-032-00749-6. This book offers solutions to all 284 exercises in Advanced R, Second Edition. All the solutions have been carefully documented and made to be as clear and accessible as possible. Working through the exercises and their solutions will give you a deeper understanding of a variety of programming challenges, many of which are...
Boca Raton: CRC Press, 2022. — 302 p. This book offers solutions to all 284 exercises in Advanced R, Second Edition. All the solutions have been carefully documented and made to be as clear and accessible as possible. Working through the exercises and their solutions will give you a deeper understanding of a variety of programming challenges, many of which are relevant to...
Springer, 2008. — 284 p. — (Series "Use R!"). — ISBN: 0387772391.
Bioconductor software has become a standard tool for the analysis and comprehension of data from high-throughput genomics experiments. Its application spans a broad field of technologies used in contemporary molecular biology. In this volume, the authors present a collection of cases to apply Bioconductor tools...
Springer, 2018. — 464 p. — (Use R!). — ISBN: 9781493988518, 9781493988532. This easy-to-follow applied book on semiparametric regression methods using R is intended to close the gap between the available methodology and its use in practice. Semiparametric regression has a large literature but much of it is geared towards data analysts who have advanced knowledge of statistical...
CRC Press, 2022. — 501 p. — ISBN 9780367619770. Doing Meta-Analysis with R: A Hands-On Guide serves as an accessible introduction on how meta-analyses can be conducted in R. Essential steps for meta-analysis are covered, including calculation and pooling of outcome measures, forest plots, heterogeneity diagnostics, subgroup analyses, meta-regression, methods to control for...
Columbia University Press, 2014. — 248 p. — ISBN: 9780231166980, e-ISBN: 9780231537049 R is the most widely used open-source statistical and programming environment for the analysis and visualization of biological data. Drawing on Gregg Hartvigsen's extensive experience teaching biostatistics and modeling biological systems, this text is an engaging, practical, and lab-oriented...
2nd edition. — Columbia University Press, 2021. — 217 p. — ISBN 9780231202138. R is the most widely used open-source statistical and programming environment for the analysis and visualization of biological data. Drawing on Gregg Hartvigsen’s extensive experience teaching biostatistics and modeling biological systems, this text is an engaging, practical, and lab-oriented...
Palgrave-MacMillan, 2018. — 155 p. — ISBN: 9781137409508, 9781137409515. This book provides the user with step-by-step coding and guidance for the practical application of the SSA technique to analyse their time series databases using R. We provided some basic R commands in Appendix, so the readers who are not familiar with this language please learn the very basics in the...
Pearson Studium, 2011. — 464 S. — ISBN 978-3-86894-060-2. Dieses Buch entstand aus der Idee, auf moderne, problem- und praxisorientierte Weise Grundlagen der Statistik zu vermitteln. Das geht nicht, ohne dabei gleichzeitig die Umsetzung mittels geeigneter Software zu berücksichtigen. Eine natürliche Wahl dafür ist R, eine „Umgebung für Datenanalyse und Grafik“. R ist die...
We describe the R np package via a series of applications that may be of interest to applied econometricians. The np package implements a variety of nonparametric and semiparametric kernel-based estimators that are popular among econometricians. There are also procedures for nonparametric tests of significance and consistent model specification tests for parametric mean regression...
CRC Press, 2011, 365 p. — ISBN10: 1439873658. Focusing on user-developed programming, An R Companion to Linear Statistical Models serves two audiences: those who are familiar with the theory and applications of linear statistical models and wish to learn or enhance their skills in R; and those who are enrolled in an R-based course on regression and analysis of variance. For...
Routledge, 2019. — 376 p. — ISBN: 9781138329164, 9781138329256. The R Companion to Elementary Applied Statistics includes traditional applications covered in elementary statistics courses as well as some additional methods that address questions that might arise during or after the application of commonly used methods. Beginning with basic tasks and computations with R, readers...
2nd Edition. — Springer, 2024. — 245 p. — ISBN-13: 978-981-97-4021-5. This book is structured to encompass both the foundational and specialized aspects of quantitative analysis in geography. The basic content covers descriptive statistical analysis and correlation analysis of geographical data, while the professional content delves into more advanced topics like linear...
2nd Edition. — Springer, 2024. — 245 p. — ISBN-13: 978-981-97-4022-2. This book is structured to encompass both the foundational and specialized aspects of quantitative analysis in geography. The basic content covers descriptive statistical analysis and correlation analysis of geographical data, while the professional content delves into more advanced topics like linear...
2nd Edition. — Springer, 2024. — 245 p. — ISBN-13: 978-981-97-4022-2. This book is structured to encompass both the foundational and specialized aspects of quantitative analysis in geography. The basic content covers descriptive statistical analysis and correlation analysis of geographical data, while the professional content delves into more advanced topics like linear...
2nd Edition. — Springer, 2024. — 245 p. — ISBN-13: 978-981-97-4022-2. This book is structured to encompass both the foundational and specialized aspects of quantitative analysis in geography. The basic content covers descriptive statistical analysis and correlation analysis of geographical data, while the professional content delves into more advanced topics like linear...
Springer Spektrum, 2015. — 998 p. — ISBN: 3662456907, 9783662456903 EISBN: 9783662456910 Das Standardwerk für statistische Methoden in den Biowissenschaften und der Medizin. Der "Hedderich/Sachs" erläutert statistische Ansätze und gibt dem Anwender anschaulich und zugleich praxisnah alle notwendigen Methoden an die Hand, um Daten zu gewinnen, zu analysieren und zu beurteilen....
Springer, 2004. – 728 p. – ISBN: 1441923209, 9781441923202 This contemporary presentation of statistical methods features extensive use of graphical displays for exploring data and for displaying the analysis. The authors demonstrate how to analyze data—showing code, graphics, and accompanying computer listings—for all the methods they cover. They emphasize how to construct and...
Series: Use R Publisher: Springer 1st Edition, 2009, XXIV, 344 p. 300 illus. in color. - Preface - Notes to Readers - Getting Started - Using RExcel and R Commander - Getting Data into R - Normal and t Distributions - Normal and t Workbook - t-Test - One-Way ANOVA - Simple Linear Regression - What Is Least Squares? - Multiple Regression—Two X-Variables - Polynomial Regression -...
CreateSpace Independent Publishing Platform, 2016. — 356 p. — ISBN: 1523285133, 9781523285136. Introduces the popular, powerful and free programming language and software package R Focus: implementation of standard tools and methods used in econometrics Compatible with "Introductory Econometrics" by Jeffrey M. Wooldridge in terms of topics, organization, terminology and...
2nd. ed. - Independently published, 2020. - 378 p. - ISBN 9798648424364. Introduces the popular, powerful and free programming language and software package R . Focus : implementation of standard tools and methods used in econometrics. Compatible with "Introductory Econometrics" by Jeffrey M. Wooldridge in terms of topics, organization, terminology and notation. Companion...
Zurich: Rmetrics Association & Finance Online Publishing, 2013. — 187 p. — ISBN: 9783906041124. The book is a set of lecture notes used in a first year graduate course in empirical finance. The book focuses on the pricing and risk management of financial assets: bonds, options and other derivative securities. The emphasis is resolutely empirical: we present models, discuss...
Version finale, 2016. — 223 — ISBN: N\A. L’objectif de cet aide-mémoire est de guider tout biologiste qui en sentirait le besoin dans sa demarche statistique, depuis la construction du protocole expérimental jusqu’à l’analyse des résultats qui en découlent. Il doit permettre de s’en sortir seul, tout en assurant une analyse appropriée et rigoureuse. Bien entendu, il ne dispense...
University of Plymouth, 2009. – 189 p. – ISBN: N/A The objective of Multivariate Statistics with R is to cover a basic core of multivariate material in such a way that the core mathematical principles are covered, and to provide access to current applications and developments. The author notes that numerous multivariate statistics books, but this book emphasises the...
CRC Press, 2015. — 224 p. — (The R Series). — ISBN: 1466568380, 9781466568389. EISBN: 9781466568396 The First Book to Explain How a User of R or MatLAB Can Benefit from the Other In today s increasingly interdisciplinary world, R and MatLAB(r) users from different backgrounds must often work together and share code. R and MatLAB(r) is designed for users who already know R or...
CRC Press, 2013. — 245 p. — ISBN: 1439858020, 9781439858028 Methods of Statistical Model Estimation examines the most important and popular methods used to estimate parameters for statistical models and provide informative model summary statistics. Designed for R users, the book is also ideal for anyone wanting to better understand the algorithms used for statistical model...
O’Reilly, 2016. — 335 p. — ISBN: 9781491922613 It’s much easier to grasp complex data relationships with a graph than by scanning numbers in a spreadsheet. This introductory guide shows you how to use the R language to create a variety of useful graphs for visualizing and analyzing complex data for science, business, media, and many other fields. You’ll learn methods for...
O’Reilly Media, Inc., 2016. — 335 p. — ISBN 13: 978-1-491-92261-3. It's much easier to grasp complex data relationships with a graph than by scanning numbers in a spreadsheet. This introductory guide shows you how to use the R language to create a variety of useful graphs for visualizing and analyzing complex data for science, business, media, and many other fields. You'll...
O’Reilly Media, Inc., 2016. — 335 p. — ISBN 13: 978-1-491-92261-3. It's much easier to grasp complex data relationships with a graph than by scanning numbers in a spreadsheet. This introductory guide shows you how to use the R language to create a variety of useful graphs for visualizing and analyzing complex data for science, business, media, and many other fields. You'll...
O’Reilly Media, Inc., 2016. — 335 p. — ISBN 13: 978-1-491-92261-3. It's much easier to grasp complex data relationships with a graph than by scanning numbers in a spreadsheet. This introductory guide shows you how to use the R language to create a variety of useful graphs for visualizing and analyzing complex data for science, business, media, and many other fields. You'll...
Packt Publishing, 2015. — 348 p. — ISBN: 978-1-78398-254-7. RStudio helps you to manage small to large projects by giving you a multi-functional integrated development environment, combined with the power and flexibility of the R programming language, which is becoming the bridge language of data science for developers and analyst worldwide. Mastering the use of RStudio will...
Packt Publishing, 2015. — 348 p. — ISBN: 978-1-78398-254-7. RStudio helps you to manage small to large projects by giving you a multi-functional integrated development environment, combined with the power and flexibility of the R programming language, which is becoming the bridge language of data science for developers and analyst worldwide. Mastering the use of RStudio will...
Packt Publishing, 2015. — 348 p. — ISBN: 978-1-78398-254-7. RStudio helps you to manage small to large projects by giving you a multi-functional integrated development environment, combined with the power and flexibility of the R programming language, which is becoming the bridge language of data science for developers and analyst worldwide. Mastering the use of RStudio will...
Springer, 2018. — 274 p. — ISBN: 9783319896342. This book introduces the main theoretical findings related to copulas and shows how statistical modeling of multivariate continuous distributions using copulas can be carried out in the R statistical environment with the package copula (among others). Copulas are multivariate distribution functions with standard uniform univariate...
Springer, 2012. — 186 p. — ISBN: 1461422981. Graphical models in their modern form have been around since the late 1970s and appear today in many areas of the sciences. Along with the ongoing developments of graphical models, a number of different graphical modeling software programs have been written over the years. In recent years many of these software developments have...
Univ. of Georgia, Athens, 2017 — 26 p. Installing and Learning R Objects and Functions Vectors Factors Lists Matrices Data Frames Importing Larger Data Sets Generation Numbers Basic Statistics Efficient computation Plots Saving and Exporting Results Programming R Customizing R
Hoboken: Wiley, 2008. — 414 p. A Complete Introduction to probability AND its computer Science Applications USING R. Probability with R serves as a comprehensive and introductory book on probability with an emphasis on computing-related applications. Real examples show how probability can be used in practical situations, and the freely available and downloadable statistical...
CRC Press, 2015. — 280 p. — 2nd ed. — ISBN: 1482237369, 9781482237368 This is the second edition of the popular book on using R for statistical analysis and graphics. The authors, who run a popular blog supplementing their books, have focused on adding many new examples to this new edition. These examples are presented primarily in new chapters based on the following themes:...
CRC Press, 2011. — 255 p. — ISBN 1439827559. Using R for Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an analytical task in R, without having to navigate through the extensive, idiosyncratic, and sometimes unwieldy software documentation and vast number of add-on packages. Organized by short, clear descriptive entries, the...
Project Mosaic, 2015. — 119 p. This book is a product of Project MOSAIC, a community of educators working to develop new ways to introduce mathematics, statistics, computation, and modeling to students in colleges and universities. Authors present an approach to teaching introductory and intermediate statistics courses that is tightly coupled with computing generally and with R...
Nicholas J. Horton, Randall Pruim, & Daniel Kaplan. Edition 1.2, November 2015. — 120 p. — ISBN: N\A. Present an approach to teaching introductory and intermediate statistics courses that is tightly coupled with computing generally and with R and RStudio in particular.
Springer, 2020. — 248 p. — (Studies in Fuzziness and Soft Computing 386). — ISBN: 978-3-030-24276-3. This book introduces readers to the use of R codes for optimization problems. First, it provides the necessary background to understand data envelopment analysis (DEA), with a special emphasis on fuzzy DEA. It then describes DEA models, including fuzzy DEA models, and shows how...
CRC Press, 2015. — 252 p. — ISBN: 1498701272
The apparent contradiction between statistical significance and biological relevance has diminished the value of statistical methods as a whole in toxicology. Moreover, recommendations for statistical analysis are imprecise in most toxicological guidelines. Addressing these dilemmas, Statistics in Toxicology Using R explains the...
3rd Edition. — Chapman and Hall/CRC, 2017. — 452 p. — ISBN-13: 978-1-4822-0459-9. Like the best-selling first two editions, A Handbook of Statistical Analyses using R, Third Edition provides an up-to-date guide to data analysis using the R system for statistical computing. The book explains how to conduct a range of statistical analyses, from simple inference to recursive...
CRC Press, Taylor & Francis Group, 2017. — 279 p. — ISBN: 1498723632. Computational Methods for Numerical Analysis with R is an overview of traditional numerical analysis topics presented using R. This guide shows how common functions from linear algebra, interpolation, numerical integration, optimization, and differential equations can be implemented in pure R code. Every...
North Holland, 2019. — 311 p. — (Handbook of Statistics 41). — ISBN: 9780444643117, EISBN 9780444643124. Conceptual Econometrics Using R, Volume 41 provides state-of-the-art information on important topics in econometrics, including quantitative game theory, multivariate GARCH, stochastic frontiers, fractional responses, specification testing and model selection, exogeneity...
SAGE Publications, 2023. — 256 p. — ISBN 978-1-0718-4612-4. This book provides students with a step-by-step guide for running their own multilevel analyses. Detailed examples illustrate the conceptual and statistical issues that multilevel modeling addresses in a way that is clear and relevant to students in applied disciplines. Clearly annotated R syntax illustrates how...
2nd edition. — Springer, 2004. — 248 p. — (Springer Series in Statistics).
This second edition contains two additional chapters dealing with binomial, multinomial and Poisson models. If you have to analyze data sets where the response variable is a count or the distribution of individuals in categories, you will be interested in these chapters. Generalized linear models are...
Apress, 2019. — 243 p. — ISBN: 9781484241998, EIBN 9781484242001. Gain the R programming language fundamentals for doing the applied statistics useful for data exploration and analysis in data science and data mining. This book covers topics ranging from R syntax basics, descriptive statistics, and data visualizations to inferential statistics and regressions. After learning...
Apress, 2019. — 243 p. — ISBN: 9781484241998, EIBN 9781484242001. Gain the R programming language fundamentals for doing the applied statistics useful for data exploration and analysis in data science and data mining. This book covers topics ranging from R syntax basics, descriptive statistics, and data visualizations to inferential statistics and regressions. After learning...
CRC, 2010. — 240 p. — ISBN 1439835802. Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R focuses on four fundamental methods of multivariate exploratory data analysis that are most suitable for applications. It covers principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) and...
Automatic forecasts of large numbers of univariate time series are often needed in business and other contexts. We describe two automatic forecasting algorithms that have been implemented in the forecast package for R. The first is based on innovations state space models that underly exponential smoothing methods. The second is a step-wise algorithm for forecasting with ARIMA...
Springer, 2008. — 372 p. — ISBN 1402086237 This book is very different from any other publication in the field and it is unique because of its focus on the practical implementation of the simulation and estimation methods presented. The book should be useful to practitioners and students with minimal mathematical background, but because of the many R programs, probably also to...
Springer, 2018. — 272 p. — (Use R!). — ISBN: 9783319555690. The YUIMA package is the first comprehensive R framework based on S4 classes and methods which allows for the simulation of stochastic differential equations driven by Wiener process, Lévy processes or fractional Brownian motion, as well as CARMA, COGARCH, and Point processes. The package performs various central...
70 pages
R is GNU S. R is a re-implementation of S. The two languages are superficially similar languages, but do not have identical underpinnings. (One big difference is in scoping rules). Furthermore, there are some packages (libraries) for certain statistical analyses written only for R (or S), and due to the differences between the two languages, the package runs error-free...
Routledge, 2022. — 261 p. A systematic, innovative introduction to the field of network analysis, Network Psychometrics with R: A Guide for Behavioral and Social Scientists provides a comprehensive overview of and guide to both the theoretical foundations of network psychometrics as well as modelling techniques developed from this perspective. Written by pioneers in the field,...
Results of ecological models differ, to some extent, more from measured data than from empirical knowledge. Existing techniques for validation based on quantitative assessments sometimes cause an underestimation of the performance of models due to time shifts, accelerations and delays or systematic differences between measurement and simulation. However, for the application of...
Springer, 2013, corrected 8th printing (2017). — 440 p. — (Springer Texts in Statistics). — ISBN: 978-1461471387. An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to...
New York: Springer, 2016. — 205 p.
Provides an overview of aggregation functions
Includes hands-on tutorials on how to program the functions covered in R without needing extensive programming courses
Does not assume a mathematics background
This textbook helps future data analysts comprehend aggregation function theory and methods in an accessible way, focusing on a...
There are three main kinds of statistics program available at UEA. The are SPSS - a program supported by the ITSC. It was designed to support the kinds of data analysis that you might meed in the social sciences. It is _ne for routine analysis. Stata - a complete, integrated statistical package which is popular amongst medics. R which is (almost) a free clone of Splus, a...
Publisher: O’Reilly Media | 2010 | Pages: 538 Collecting data is relatively easy, but turning raw information into something useful requires that you know how to extract precisely what you need. With this insightful book, intermediate to experienced programmers interested in data analysis will learn techniques for working with data in a business environment. You'll learn how to...
Springer, 2012. — 202 p. 100 illus., 63 illus. in color — ISBN: 9781461404064 Series: Use R! The practice of business is changing. More and more companies are amassing larger and larger amounts of data, and storing them in bigger and bigger data bases. Consequently, successful applications of data-driven decision making are plentiful and increasing on a daily basis. This book...
John Wiley & Sons – 2010, 343 pages ISBN: 047047565X Explore cutting-edge statistical methodologies for collecting, analyzing, and modeling online auction data Online auctions are an increasingly important marketplace, as the new mechanisms and formats underlying these auctions have enabled the capturing and recording of large amounts of bidding data that are used to make...
Springer, 2015. — 346 p. — ISBN: 3662467917 The aim of this book is to unlock the power of the freeware R language to advanced university students and researchers dealing with whole-rock geochemistry of (meta-) igneous rocks. The first part covers data input/output, calculation of commonly used indexes and plotting in R. The core of the book then focusses on the presentation...
O’Reilly, 2014. — 212 p. — ISBN: 978-1-491-94785-2. This hands-on guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You’ll learn how to combine small, yet powerful, command-line tools to quickly obtain, scrub, explore, and model your data. To get you started—whether you’re on Windows, OS X, or...
O’Reilly, 2014. — 212 p. — ISBN: 978-1-491-94785-2. This hands-on guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You’ll learn how to combine small, yet powerful, command-line tools to quickly obtain, scrub, explore, and model your data. To get you started—whether you’re on Windows, OS X, or...
Packt Publishing, 2017. - 284p. - ASIN: B06XTHMMWH +Sample files Key Features Understand the basics of R and how they can be applied in various Quantitative Finance scenarios Learn various algorithmic trading techniques and ways to optimize them using the tools available in R. Contain different methods to manage risk and explore trading using Machine Learning. Book Description...
Packt Publishing, 2017. — 284p. — ASIN B06XTHMMWH. Key Features Understand the basics of R and how they can be applied in various Quantitative Finance scenarios Learn various algorithmic trading techniques and ways to optimize them using the tools available in R. Contain different methods to manage risk and explore trading using Machine Learning. Book Description The role of a...
Packt Publishing, 2017. — 284p. — ASIN B06XTHMMWH. Key Features Understand the basics of R and how they can be applied in various Quantitative Finance scenarios Learn various algorithmic trading techniques and ways to optimize them using the tools available in R. Contain different methods to manage risk and explore trading using Machine Learning. Book Description The role of a...
Springer, 2014. — 194 p. — (Quantitative Methods in the Humanities and Social Sciences). — ISBN: 978-3-319-03163-7, e-ISBN: 978-3-319-03164-4. Text Analysis with R for Students of Literature is written with students and scholars of literature in mind but will be applicable to other humanists and social scientists wishing to extend their methodological tool kit to include...
Материалы (рабочие текстовые файлы, файлы примеров и код) к книге: Jockers M.L.,Text Analysis with R for Students of Literature Архив содержит: Код на R к примерам из глав 3, 4, 5, 6, 7. Полные тексты произведений для разбираемых в книге примеров в форматах *.txt и *.xml. Вспомогательные файлы к примерам.
2nd Edition. — Springer, 2020. — xxiii, 277 p. — (Quantitative Methods in the Humanities and Social Sciences). - ISBN: 978-3-030-39642-8, 978-3-030-39643-5. Now in its second edition, Text Analysis with Rprovides a practical introduction to computational text analysis using the open source programming language R. R is an extremely popular programming language, used throughout...
Item response theory (IRT) models are a class of statistical models used by researchers to describe the response behaviors of individuals to a set of categorically scored items. The most common IRT models can be classified as generalized linear fixed- and/or mixed-effect models. Although IRT models appear most often in the psychological testing literature, researchers in other...
3rd ed. — CRC Press, 2014. — 438 p. — ISBN: 1439861420, 9781439861424, e-ISBN: 9781439861431. Design and Analysis of Cross-Over Trials is concerned with a specific kind of comparative trial known as the cross-over trial, in which subjects receive different sequences of treatments. Such trials are widely used in clinical and medical research, and in other diverse areas such as...
3rd edition. — John Wiley & Sons, 2022. — 882 p. — ISBN 978-1119634409. A start-to-finish guide to one of the most useful programming languages for researchers in a variety of fields. In the newly revised Third Edition of The R Book, a team of distinguished teachers and researchers delivers a user-friendly and comprehensive discussion of foundational and advanced topics in the...
The analysis of matrix population models has become a fundamental tool in ecology, conservation biology, and life history theory. In this paper, I present demogR, a package for analyzing age-structured population models in R. The package includes tools for the construction and analysis of matrix population models. In addition to the standard analyses commonly used in evolutionary...
Chapman & Hall/CRC, 2009. — 449 p. This book has two principal aims: to teach scientific programming and to introduce stochastic modelling. Stochastic modelling in particular, and mathematical modelling in general, are intimately linked to scientific programming because the numerical techniques of scientific programming enable the practical application of mathematical models to...
2nd ed. — CRC Press, 2014. — 598 p. — ISBN: 9781439835807, 1439835802, 9781482205473, 9781482205480
An introduction to exploratory techniques for multivariate data analysis, this book covers the key methodology, including principal components analysis, correspondence analysis, mixed models and multiple factor analysis. The authors take a practical approach, with examples...
Chapman & Hall/CRC, 2005. — 216 p. — ISBN 1584884541. Robust statistical methods were developed to supplement the classical procedures when the data violate classical assumptions. They are ideally suited to applied research across a broad spectrum of study, yet most books on the subject are narrowly focused, overly theoretical, or simply outdated. Robust Statistical Methods with R...
2nd ed. — Springer, 2008. — 381 p. — ISBN 3540709924. This book gives a comprehensive survey of non-life insurance mathematics. Originally written for use with the actuarial science programs at the Universities of Amsterdam and Leuven, it is now in use at many other universities, as well as for the non-academic actuarial education program organized by the Dutch Actuarial Society....
Manning Publications, 2011. — 447 p. — ISBN: 978-1935182399.
The ability to interpret and act on the massive amounts of information locked in web and enterprise systems is critical to success in the modern business economy. R, a free software environment for statistical computing and graphics, is a comprehensive package that empowers developers and analysts to capture, process,...
2nd Edition. — Manning Publications, 2015. — 608 p. — ISBN: 978-1617291388. Bonus chapter 23 and source code from this book placed here. Business pros and researchers thrive on data, and R speaks the language of data analysis. R is a powerful programming language for statistical computing. Unlike general-purpose tools, R provides thousands of modules for solving just about any...
2nd Edition. — Manning Publications, 2015. — 608 p. — ISBN: 978-1617291388. Bonus chapter 23 and source code from this book placed here. Business pros and researchers thrive on data, and R speaks the language of data analysis. R is a powerful programming language for statistical computing. Unlike general-purpose tools, R provides thousands of modules for solving just about any...
2nd Edition. — Manning Publications, 2015. — 608 p. — ISBN: 978-1617291388. Bonus chapter 23 and source code from this book placed here. Business pros and researchers thrive on data, and R speaks the language of data analysis. R is a powerful programming language for statistical computing. Unlike general-purpose tools, R provides thousands of modules for solving just about any...
2nd Edition. — Manning Publications, 2015. — 608 p. — ISBN: 978-1617291388. Bonus chapter 23 and source code from this book placed here. Business pros and researchers thrive on data, and R speaks the language of data analysis. R is a powerful programming language for statistical computing. Unlike general-purpose tools, R provides thousands of modules for solving just about any...
3rd Edition. — Manning Publications Co., 2022. — 656 p. — ISBN: 978-1617296055. R is the most powerful tool you can use for statistical analysis. This definitive guide smooths R’s steep learning curve with practical solutions and real-world applications for commercial environments. In R in Action, Third Edition you will learn how to: Set up and install R and RStudio Clean,...
3rd Edition. — Manning Publications Co., 2022. — 656 p. — ISBN: 978-1617296055. R is the most powerful tool you can use for statistical analysis. This definitive guide smooths R’s steep learning curve with practical solutions and real-world applications for commercial environments. In R in Action, Third Edition you will learn how to: Set up and install R and RStudio Clean,...
3rd Edition. — Manning Publications Co., 2022. — 656 p. — ISBN: 978-1617296055. R is the most powerful tool you can use for statistical analysis. This definitive guide smooths R’s steep learning curve with practical solutions and real-world applications for commercial environments. In R in Action, Third Edition you will learn how to: Set up and install R and RStudio Clean,...
3rd Edition. — Manning Publications Co., 2022. — 656 p. — ISBN: 978-1617296055. R is the most powerful tool you can use for statistical analysis. This definitive guide smooths R’s steep learning curve with practical solutions and real-world applications for commercial environments. In R in Action, Third Edition you will learn how to: Set up and install R and RStudio Clean,...
CRC Press / Chapman & Hall, 2024. — 272 p. — (The R Series). — ISBN 978-1-0322-8949-6. Modern Data Visualization with R describes the many ways that raw and summary data can be turned into visualizations that convey meaningful insights. It starts with basic graphs such as bar charts, scatter plots, and line charts, but progresses to less well-known visualizations such as tree...
River Publishers, 2016. — 127 p. — ISBN 8793379315, 9788793379312. EDM is a promising discipline which has an imperative impact on predicting students' academic performance. It includes the transformation of existing, and the innovation of new approaches derived from multidisciplinary spheres of influence such as statistics, machine learning, psychometrics, scientific computing...
Springer, 2019. — 168 p. — (Springer Geography). — ISBN10: 9811380112, 13 978-9811380112. This book offers an introduction to remotely sensed image processing and classification in R using machine learning algorithms. It also provides a concise and practical reference tutorial, which equips readers to immediately start using the software platform and R packages for image...
CRC Press, 2023. — 432 p. — (Chapman & Hall/CRC The R Series). — eBook ISBN 978-1-032-24551-5 A Criminologist's Guide to R: Crime by the Numbers introduces the programming language R and covers the necessary skills to conduct quantitative research in criminology. By the end of this book, a person without any prior programming experience can take raw crime data, be able to clean...
Chapman and Hall/CRC, 2010. — 1681 p. — ISBN 1584887117. This book contains information obtained from authentic and highly regarded sources. Reprinted material is quoted with permission, and sources are indicated. A wide variety of references is listed. Reasonable efforts have been made to publish reliable data and information, but the authors and the publisher cannot assume...
Nk3@sanger.ac.uk. — 50 p. R commander an Introduction Natasha A. Karpnk3@sanger.ac.uk May 2010. This material is intended as an introductory guide to data analysis with Rcommander. It was produced as part of an applied statistics course, given at the Wellcome Trust Sanger Institute in the summer of 2010. The principle aim is to provide a step-by-step guide on the use of R...
Chapman and Hall/CRC, 2017. — 433 p. — (Chapman & Hall/CRC Biostatistics Series). — ISBN: 1482208237, 9781482208238, 9781315356396, 1315356392, 9781482208245, 1482208245 Kasim A., Shkedy Z., Kaiser S., Hochreiter S., Talloen W. Proven Methods for Big Data Analysis As big data has become standard in many application areas, challenges have arisen related to methodology and...
New York: STHDA, 2017. — 187 p. Large amounts of data are collected every day from satellite images, bio-medical, security, marketing, web search, geo-spatial or other automatic equipment. Mining knowledge from these big data far exceeds human’s abilities. Clustering is one of the important data mining methods for discovering knowledge in multidimensional data. The goal of...
Amazon Digital Services LLC., 2017. — 205 p. — (Multivariate Analysis Book 2) — ASIN B0754LHRMV. This book provides a solid practical guidance to summarize, visualize and interpret the most important information in a large multivariate data sets, using principal component methods (PCMs) in R. The visualization is based on the factoextra R package that we developed for creating...
Amazon Digital Services LLC., 2017. – 254 p. – (Multivariate Analysis Book 02) – ASIN B0754LHRMV. This book provides a solid practical guidance to summarize, visualize and interpret the most important information in a large multivariate data sets, using principal component methods (PCMs) in R. The visualization is based on the factoextra R package that we developed for creating...
STHDA, 2013. — 237 p. This book contains 6 parts providing step-by-step guides to create easily beautiful graphics using the R package ggplot2. The first part provides a quick introduction to R and to the ggplot2 plotting system. From part II to IV, we show how to create and customize several graph types including: density plots, histogram plots, ECDF, QQ plots, scatter plots, box...
STHDA, 2017. — 145 p. Data visualization is one of the most important part of data science. Many books and courses present a catalogue of graphics but they don't teach you which charts to use according to the type of the data. In this book, we start by presenting the key graphic systems and packages available in R, including R base graphs, lattice and ggplot2 plotting systems....
Birkhauser Boston Inc., 2014. — 315 p. — ISBN: 0817648100, 9780817648107 The focus of this book is on models for contingency table analysis. It deals mainly with log-linear models and special models for ordinal data (log-linear or nonlinear). Special models for ordinal data are dealt with to a greater extent, covered in Chaps. 6, 7, and 9. These models, as for example,...
Tutorial based on workshop at Rutgers University. NetSciX 2016 School of Code Workshop, Wroclaw, Poland, 64 pages.
This tutorial covers basics of network analysis and visualization with the R package igraph (maintained by Gabor Csardi and Tamas Nepusz). The igraph library provides versatile options for descriptive network analysis and visualization in R, Python, and C/C++. This...
Springer, 2010. — 261 S. — ISBN 3642123171. Das Buch führt in Grundprinzipien der Stichprobenziehung und der zugehörigen statistischen Auswertung ein. Dabei stehen Motivation und anschauliche Beschreibung der Verfahren im Vordergrund. Nach einer generellen Einführung werden sowohl modellbasierte als auch designbasierte Stichprobenverfahren wie Clusterstichprobe und geschichtete...
Kavi & Shila Book Publication House, 2024. — 226 p. Whether you're a student, researcher, or just someone curious about data, R programming can be your key to unlocking valuable insights. This book is designed to take you on a step-by-step journey from R novice to confident user. R is a programming language and software environment for statistical analysis, graphics...
ISBN: 0470319917 | Издательство: Wiley | Год: 2008 | Страницы: 232 | Язык: Английский |
Smoothing methods have been little used within the social sciences. Semiparametric Regression for the Social Sciences sets out to address this situation by providing an accessible introduction to the subject, filled with examples drawn from the social and political sciences. Readers are...
CRC Press, 2010. — 485 p. — ISBN: 1584880872, EISBN: 9781420010053
Graphics for Statistics and Data Analysis with R presents the basic principles of sound graphical design and applies these principles to engaging examples using the graphical functions available in R. It offers a wide array of graphical displays for the presentation of data, including modern tools for data...
The behavioral, educational, and social sciences are undergoing a paradigmatic shift in methodology, from disciplines that focus on the dichotomous outcome of null hypothesis significance tests to disciplines that report and interpret effect sizes and their corresponding confidence intervals. Due to the arbitrariness of many measurement instruments used in the behavioral,...
Wiley, 2012. — 509 p. — ISBN: 0470971282, 9780470971284 Customer survey studies deals with customers, consumers and user satisfaction from a product or service. In practice, many of the customer surveys conducted by business and industry are analyzed in a very simple way, without using models or statistical methods. Typical reports include descriptive statistics and basic...
2nd ed. — Wiley, 2014. — 592 p. — ISBN: 1118456068, 9781118456064. Fully revised and updated, this book combines a theoretical background with examples and references to R, MINITAB and JMP, enabling practitioners to find state-of-the-art material on both foundation and implementation tools to support their work. Topics addressed include computer-intensive data analysis,...
San Francisco: No Starch Press, 2024. — 251 p. — ISBN 1718503326. Learn how to use R for everything from workload automation and creating online reports, to interpreting data, map making, and more. The R programming language is a remarkably powerful tool for data analysis and visualization, but its steep learning curve can be intimidating for some. If you just want to automate...
No Starch Press, 2024. — 306 р. — ISBN-13: 978-1-7185-0333-5. The R programming language is a remarkably powerful tool for data analysis and visualization, but its steep learning curve can be intimidating for some. If you just want to automate repetitive tasks or visualize your data, without the need for complex math, R for the Rest of Us is for you. Inside you’ll find a crash...
No Starch Press, 2024. — 306 р. — ISBN-13: 978-1-7185-0333-5. The R programming language is a remarkably powerful tool for data analysis and visualization, but its steep learning curve can be intimidating for some. If you just want to automate repetitive tasks or visualize your data, without the need for complex math, R for the Rest of Us is for you. Inside you’ll find a crash...
No Starch Press, 2024. — 306 р. — ISBN-13: 978-1-7185-0333-5. The R programming language is a remarkably powerful tool for data analysis and visualization, but its steep learning curve can be intimidating for some. If you just want to automate repetitive tasks or visualize your data, without the need for complex math, R for the Rest of Us is for you. Inside you’ll find a crash...
Independently published, 2021. — 727 p. — ASIN B09B3WCZRM. 2021-07-15 If there is one thing R is famous and known about, is its graphics capabilities. There are many packages out there for producing plots in R, top amongst which is the base graphics package which comes with R preinstalled. The goal of this book is to explore the nooks and crannies of chart production with base...
Independently published, 2021. — 727 p. — ASIN B09B3WCZRM. 2021-07-15 If there is one thing R is famous and known about, is its graphics capabilities. There are many packages out there for producing plots in R, top amongst which is the base graphics package which comes with R preinstalled. The goal of this book is to explore the nooks and crannies of chart production with base...
Independently published, 2021. — 727 p. — ASIN B09B3WCZRM. 2021-07-15 If there is one thing R is famous and known about, is its graphics capabilities. There are many packages out there for producing plots in R, top amongst which is the base graphics package which comes with R preinstalled. The goal of this book is to explore the nooks and crannies of chart production with base...
Independently published, 2021. — 1206 p. — ASIN B08TW46GVF. Data wrangling is one of the most important steps in data science and analytics, for it is claimed that it takes between 80% to 90% of an analyst’s time. Data wrangling goes by many names including data munging, data manipulation, data preparation and data transformations. Just as there are many names to data...
FRU Kingsly, 2021. — 897 p. The goal of this book is to provide beginners and intermediate users of R, an opportunity to learn practically all there is to know about data wrangling, cleansing and exploration. Before data can be visualised or used in analysis and reporting, it needs to be in the right shape and be of the right type, this book helps you achieve all these without...
2nd edition. — CRC Press, 2020. — 352 p. — ISBN: 9780367187330. Praise for the first edition: [This book] reflects the extensive experience and significant contributions of the author to non-linear and non-Gaussian modeling. … [It] is a valuable book, especially with its broad and accessible introduction of models in the state space framework. –Statistics in Medicine What...
2nd edition. — CRC Press, 2020. — 352 p. — ISBN: 9780367187330. Praise for the first edition: [This book] reflects the extensive experience and significant contributions of the author to non-linear and non-Gaussian modeling. … [It] is a valuable book, especially with its broad and accessible introduction of models in the state space framework. –Statistics in Medicine What...
Springer, 2008. — 232 p. — ISBN: 978-0-387-77316-2, e-ISBN: 978-0-387-77318-6.
This is the first book on applied econometrics using the R system for statistical computing and graphics. It presents hands-on examples for a wide range of econometric models, from classical linear regression models for cross-section, time series or panel data and the common non-linear models of...
Springer, 2020. — 300 p. — (Statistics for Social and Behavioral Sciences). — ISBN: 978-3-030-38163-9. This book explores missing data techniques and provides a detailed and easy-to-read introduction to multiple imputation, covering the theoretical aspects of the topic and offering hands-on help with the implementation. It discusses the pros and cons of various techniques and...
CRC Press, 2010. — 302 p. — ISBN: 9781420070576 Provides a path between languages that is easier than reading complete documentation. SAS and R: Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an analytical task in both SAS and R, without having to navigate through the extensive, idiosyncratic, and sometimes unwieldy software...
Second Edition. — N.-Y.: Chapman and Hall/CRC, 2014. — 468 p.
An Up-to-Date, All-in-One Resource for Using SAS and R to Perform Frequent Tasks
The first edition of this popular guide provided a path between SAS and R using an easy-to-understand, dictionary-like approach. Retaining the same accessible format, SAS and R: Data Management, Statistical Analysis, and Graphics,...
Wiley, 2014. — 396 p. — ISBN: 0470384425, 9780470384428 A modern approach to statistical learning and its applications through visualization methods With a unique and innovative presentation, Multivariate Nonparametric Regression and Visualization provides readers with the core statistical concepts to obtain complete and accurate predictions when given a set of data. Focusing...
Wiley, 2014. — 396 p. — ISBN: 0470384425, 9780470384428
A modern approach to statistical learning and its applications through visualization methods
With a unique and innovative presentation, Multivariate Nonparametric Regression and Visualization provides readers with the core statistical concepts to obtain complete and accurate predictions when given a set of data.
Focusing...
Wiley – 2009, 642 pages ISBN: 0470290889 An applied treatment of the key methods and state-of-the-art tools for visualizing and understanding statistical data Smoothing of Multivariate Data provides an illustrative and hands-on approach to the multivariate aspects of density estimation, emphasizing the use of visualization tools. Rather than outlining the theoretical concepts...
CRC Pres, 2014. — 287 p. — ISBN: 1439873437, 9781439873434 A Practical Guide to Implementing Nonparametric and Rank-Based Procedures. Nonparametric Statistical Methods Using R covers traditional nonparametric methods and rank-based analyses, including estimation and inference for models ranging from simple location models to general linear and nonlinear models for uncorrelated...
2nd Edition. — CRC Pres, 2024. — 466 p. — (Chapman & Hall/CRC Texts in Statistical Science). — ISBN: 978-1-032-75197-9. Praise for the first edition: “This book would be especially good for the shelf of anyone who already knows nonparametrics, but wants a reference for how to apply those techniques in R.” -The American Statistician This thoroughly updated and expanded second...
Packt Publishing, 2015. — 259 p. — ISBN: 178398760X, 9781783987603
This book is for statisticians, analysts, and data scientists who want to build a Bayes-based system with R and implement it in their day-to-day models and projects. It is mainly intended for Data Scientists and Software Engineers who are involved in the development of Advanced Analytics applications. To...
Packt Publishing, 2015. — 245 p. — ISBN: 178398760X, 9781783987603 This book is for statisticians, analysts, and data scientists who want to build a Bayes-based system with R and implement it in their day-to-day models and projects. It is mainly intended for Data Scientists and Software Engineers who are involved in the development of Advanced Analytics applications. To...
Quantile regression for censored survival (duration) data offers a more flexible alternative to the Cox proportional hazard model for some applications. We describe three estimation methods for such applications that have been recently incorporated into the R package quantreg: the Powell (1986) estimator for fixed censoring, and two methods for random censoring, one introduced by...
Bookboon, 2015. — 228 p. — ISBN 978-87-403-1123-5. The book offers an introduction to statistical data analysis applying the free statistical software R, probably the most powerful statistical software today. The analyses are performed and discussed using real data. After a brief description of the statistical software R, important parameters and diagrams of descriptive...
Bookboon, 2015. — 228 p. — ISBN: 978-87-403-1123-5. The book offers an introduction to statistical data analysis applying the free statistical software R, probably the most powerful statistical software today. The analyses are performed and discussed using real data. After a brief description of the statistical software R, important parameters and diagrams of descriptive...
2nd ed. — Springer, 2020. — 235 p. — (Use R!) — ISBN: 3030441288, 9783030441289, 9783030441296. The new edition of this book provides an easily accessible introduction to the statistical analysis of network data using R . It has been fully revised and can be used as a stand-alone resource in which multiple R packages are used to illustrate how to conduct a wide range of network...
Springer, 2014. — 214 p. 55 illus., 53 illus. in color. — ISBN: 1493909827, 9781493909827 Networks have permeated everyday life through everyday realities like the Internet, social networks, and viral marketing. As such, network analysis is an important growth area in the quantitative sciences, with roots in social network analysis going back to the 1930s and graph theory going...
R is an implementation of the S language that was originally developed by J. M. Chambers at AT&T’s Bell Laboratories. The original S is licensed to the Insightful Corporation which sells an enhanced version called S-PLUS. S-PLUS is rather expensive and really not that much better than the the freely (GNU) available R so why not use R?
Many of the examples in this introductory...
Packt, 2016. — 151 p. — ISBN: 9781785286544 With organizations increasingly embedding data science across their enterprise and with management becoming more data-driven it is an urgent requirement for analysts and managers to understand the key concept of data science. The data science concepts discussed in this book will help you make key decisions and solve the complex...
Packt Publishing, 2016. — 154 p. — ISBN13: 9781785286544. With organizations increasingly embedding data science across their enterprise and with management becoming more data-driven it is an urgent requirement for analysts and managers to understand the key concept of data science. The data science concepts discussed in this book will help you make key decisions and solve the...
Springer, 2000. — 402 p. — 2nd ed. — ISBN: 0387989617
S-PLUS, the highly popular statistical software program, is a powerful tool for interactive data analysis, creating graphs, and implementing customized routines. This book explains the basics of S-PLUS in a clear style at a level suitable for those with little computing or statistical knowledge. This second edition of a...
Springer - 2005, 464 pages ISBN: 0387261095 This book explains the basics of S-PLUS in a clear style at a level suitable for people with little computing or statistical knowledge. Unlike the manuals, it is not comprehensive, but instead introduces the most important ideas of S-PLUS and R, its companion in implementing the S language.The authors take the reader on a journey into...
CRC Press, 2012. — 314 p. — (R series). — ISBN: 9781466503984, 146650398X. Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying open-source software, how advanced analytical tools can address various business problems. It also gives insight into some of the challenges faced when deploying these...
Internet Resource, 2010. — 278 p. — ISBN: N\A The purpose of this book is to give an introduction into statistics in order to solve some problems of bioinformatics. Statistics provides procedures to explore and visualize data as well as to test biological hypotheses. The book intends to be introductory in explaining and programming elementary statistical concepts, thereby bridging...
Packt, 2019. — 438 p. — ISBN: 1788629159. Hands-On Time Series Analysis with R: Perform time series analysis and forecasting using R Build efficient forecasting models using traditional time series models and machine learning algorithms. Key Features Perform time series analysis and forecasting using R packages such as Forecast and h2o Develop models and find patterns to create...
Packt, 2019. — 438 p. — ISBN: 1788629159. Hands-On Time Series Analysis with R: Perform time series analysis and forecasting using R Build efficient forecasting models using traditional time series models and machine learning algorithms. Key Features Perform time series analysis and forecasting using R packages such as Forecast and h2o Develop models and find patterns to create...
Packt, 2019. — 438 p. — ISBN: 1788629159. Hands-On Time Series Analysis with R: Perform time series analysis and forecasting using R Build efficient forecasting models using traditional time series models and machine learning algorithms. Key Features Perform time series analysis and forecasting using R packages such as Forecast and h2o Develop models and find patterns to create...
Packt, 2019. — 438 p. — ISBN: 1788629159. Code files only! Hands-On Time Series Analysis with R: Perform time series analysis and forecasting using R Build efficient forecasting models using traditional time series models and machine learning algorithms. Key Features Perform time series analysis and forecasting using R packages such as Forecast and h2o Develop models and find...
Springer, 2024. — 348 p. — ISBN 366269106X. This book shows you how to analyze data sets systematically and to use the R Commander to extract information from data almost effortlessly. Both are (not) an art ! The statistical methods are presented and discussed using a single data set. This makes it clear how the methods build on each other and gradually more and more...
Berlin: Springer Spektrum, 2021. — 130 p. — ISBN 3662625172. The objective of this text is to introduce RStudio to practitioners and students and enable them to use R in their everyday work. It is not a statistical textbook, the purpose is to transmit the joy of analyzing data with RStudio. Practitioners and students learn how RStudio can be installed and used, they learn to...
Academic Press, 2010. — 529 p. — ISBN 0123814855. There is an explosion of interest in Bayesian statistics, primarily because recently created computational methods have finally made Bayesian analysis obtainable to a wide audience. Doing Bayesian Data Analysis, A Tutorial Introduction with R and BUGS provides an accessible approach to Bayesian data analysis, as material is...
O’Reilly Media, Inc., 2022. — 381 p. — ISBN-13: 978-1-492-09648-1. Get going with tidymodels, a collection of R packages for modeling and machine learning. Whether you're just starting out or have years of experience with modeling, this practical introduction shows data analysts, business analysts, and data scientists how the tidymodels framework offers a consistent, flexible...
O’Reilly Media, Inc., 2022. — 381 p. — ISBN-13: 978-1-492-09648-1. Get going with tidymodels, a collection of R packages for modeling and machine learning. Whether you're just starting out or have years of experience with modeling, this practical introduction shows data analysts, business analysts, and data scientists how the tidymodels framework offers a consistent, flexible...
O’Reilly Media, Inc., 2022. — 381 p. — ISBN-13: 978-1-492-09648-1. Get going with tidymodels, a collection of R packages for modeling and machine learning. Whether you're just starting out or have years of experience with modeling, this practical introduction shows data analysts, business analysts, and data scientists how the tidymodels framework offers a consistent, flexible...
O’Reilly Media, Inc., 2022. — 381 p. — ISBN-13: 978-1-492-09648-1. Get going with tidymodels, a collection of R packages for modeling and machine learning. Whether you're just starting out or have years of experience with modeling, this practical introduction shows data analysts, business analysts, and data scientists how the tidymodels framework offers a consistent, flexible...
O’Reilly Media, Inc., 2022. — 381 p. — ISBN-13: 978-1-492-09648-1. Get going with tidymodels, a collection of R packages for modeling and machine learning. Whether you're just starting out or have years of experience with modeling, this practical introduction shows data analysts, business analysts, and data scientists how the tidymodels framework offers a consistent, flexible...
Packt Publishing, 2017. — 288 p. — ISBN: 978-1783551811 The book is the process of extracting useful and high-quality information from text by devising patterns and trends. R provides an extensive ecosystem to mine text through its many frameworks and packages. Starting with basic information about the statistics concepts used in text mining, this book will teach you how to...
Packt Publishing, 2017. — 288 p. — ISBN: 978-1783551811 The book is the process of extracting useful and high-quality information from text by devising patterns and trends. R provides an extensive ecosystem to mine text through its many frameworks and packages. Starting with basic information about the statistics concepts used in text mining, this book will teach you how to...
Packt Publishing, 2017. — 262 p. — ISBN: 978-1-78355-181-1 The book is the process of extracting useful and high-quality information from text by devising patterns and trends. R provides an extensive ecosystem to mine text through its many frameworks and packages. Starting with basic information about the statistics concepts used in text mining, this book will teach you how to...
Код и учебные материалы к книге: Kumar A., Paul A., Mastering Text Mining with R. В архив включены: Код для примеров на R к главам 4, 6, 7. Данные к примерам и тестовые материалы для глав 2, 5, 6.
The prestigious 1998 Association for Computing Machinery Award for software systems was awarded to John Chambers of Bell Labs for the S system. The citation reads, For the S system, which has forever altered how people analyze, visualize, and manipulate data. R is an open source implementation of S and S-PLUS its commercial implementation.
R is an extensible, well documented...
Wiley, 2017. — 310 p. — ISBN: 9781119282099. A reliable, cost-effective approach to extracting priceless business information from all sources of text Excavating actionable business insights from data is a complex undertaking, and that complexity is magnified by an order of magnitude when the focus is on documents and other text information. This book takes a practical,...
John Wiley & Sons, 2017. — 312 p. — ISBN: 9781119282099. A reliable, cost-effective approach to extracting priceless business information from all sources of text. Excavating actionable business insights from data is a complex undertaking, and that complexity is magnified by an order of magnitude when the focus is on documents and other text information. This book takes a...
John Wiley & Sons, 2017. — 312 p. — ISBN: 9781119282099. A reliable, cost-effective approach to extracting priceless business information from all sources of text. Excavating actionable business insights from data is a complex undertaking, and that complexity is magnified by an order of magnitude when the focus is on documents and other text information. This book takes a...
National Marine Mammal Laboratory Alaska Fisheries Science Center, 2013. — 25 p. — ISBN: N/A Rmark provides a formula-based interface for analysis of capture-recapture data with the program MARK. Rmark reduces the development time of models and removes the potential for errors introduced from manual creation of design matrices in MARK. By providing an interface to MARK in R,...
Springer, 2020. — 167 p. — ISBN: 9783030276027, EISBN 9783030276034. This textbook covers R data analysis related to terrestrial ecology, starting with basic examples and proceeding up to advanced applications of the R programming language. The main objective of the textbook is to serve as a guide for undergraduate students, who have no previous experience with R, but Chap. 5...
ISTE Press - Elsevier, 2016. — 206 p. — ISBN: 178548088X, 9781785480881, 9780081011751, 008101175X Biostatistics and Computer-Based Analysis of Health Data Using the R Software addresses the concept that many of the actions performed by statistical software comes back to the handling, manipulation, or even transformation of digital data. It is therefore of primary importance to...
While the commercial implementation of S, S-PLUS, is struggling to keep its existing users, the open source version of S, R, has received a lot of attention in the last _ve years. Not only because the R system is a free tool, the system has proven to be a very e_ective tool in data manipulation, data analysis, graphing and developing new functionality. The user community has...
2nd Edition. — Chapman and Hall/CRC, 2018. — 273 p. — ISBN: 978-1-1380-8998-3. Focusing on the exploration of data with visual methods, this book presents methods and R code for producing high-quality static graphics, interactive visualizations, and animations of time series, spatial, and space-time data. Practical examples using real-world datasets help you understand how to...
Chapman and Hall/CRC, 2014. — 206 p. — (The R Series). — ISBN: 9781466565227
A data graphic is not only a static image, but it also tells a story about the data. It activates cognitive processes that are able to detect patterns and discover information not readily available with the raw data. This is particularly true for time series, spatial, and space-time datasets....
2nd Edition. — Routledge, 2025. — 321 p. — (Quantitative Methodology Series). — ISBN 978-1-032-61940-8. This new edition provides a step-by-step guide to applying the Rasch model in R, a probabilistic model used by researchers across the social sciences to measure unobservable (“latent”) variables. Although the focus is on simple R code, the book provides updated guidance...
2nd Edition. — Routledge, 2025. — 321 p. — (Quantitative Methodology Series). — ISBN 978-1-032-61940-8. This new edition provides a step-by-step guide to applying the Rasch model in R, a probabilistic model used by researchers across the social sciences to measure unobservable (“latent”) variables. Although the focus is on simple R code, the book provides updated guidance...
Routledge, 2020. — 302 p. — ISBN 978-1-138-50078-5. This unique text provides a step-by-step beginner’s guide to applying the Rasch model in R, a probabilistic model used by researchers across the social sciences to measure unobservable ("latent") variables. Each chapter is devoted to one popular Rasch model, ranging from the least to the most complex. Through a freely...
2nd edition. — Addison-Wesley Professional, 2017. — 560 p. — ISBN: 978-0134546926 Statistical Computation for Programmers, Scientists, Quants, Excel Users, and Other Professionals Using the open source R language, you can build powerful statistical models to answer many of your most challenging questions. R has traditionally been difficult for non-statisticians to learn, and most...
Addison-Wesley Professional, 2017.- 560p. - ISBN: 978-0134546926 2nd Edition Using the open source R language, you can build powerful statistical models to answer many of your most challenging questions. R has traditionally been difficult for non-statisticians to learn, and most R books assume far too much knowledge to be of help. R for Everyone, Second Edition, is the solution....
Addison-Wesley Professional, 2017.- 560p. - ISBN: 978-0134546926 2nd Edition Using the open source R language, you can build powerful statistical models to answer many of your most challenging questions. R has traditionally been difficult for non-statisticians to learn, and most R books assume far too much knowledge to be of help. R for Everyone, Second Edition, is the solution....
Pearson Education, Inc. 2014. — 464 pages ISBN: 0321888030 Statistical Computation for Programmers, Scientists, Quants, Excel Users, and Other Professionals Using the open source R language, you can build powerful statistical models to answer many of your most challenging questions. R has traditionally been difficult for non-statisticians to learn, and most R books assume far...
Addison-Wesley, 2013. — 464 p. — ISBN10: 0-321-88803-0, ISBN13: 978-0-321-88803-7. На англ. языке. Statistical Computation for Programmers, Scientists, Quants, Excel Users, and Other Professionals. Using the open source R language, you can build powerful statistical models to answer many of your most challenging questions. R has traditionally been difficult for...
2nd Edition. — Addison-Wesley, 2017 — 560 p. — (Addison-Wesley Data & Analytics Series) — ISBN-13: 978-0-13-454692-6 Using the open source R language, you can build powerful statistical models to answer many of your most challenging questions. R has traditionally been difficult for non-statisticians to learn, and most R books assume far too much knowledge to be of help. R for...
Leanpub, 2021. — 138 p. Six years ago, I started a data science consulting company. Almost all my projects require some kind of data visualization. Because I'm a R programmer, ggplot2 became my primary charting tool. The thing about ggplot2 is that making a generic plot is easy, but customizing is hard. There're just too much details to remember. At first, I did a lot of code...
CRC Press, 2024. — 368 p. — ISBN 9781032434056. This textbook is a comprehensive guide to machine learning and artificial intelligence tailored for students in business and economics. It takes a hands-on approach to teach machine learning, emphasizing practical applications over complex mathematical concepts. Students are not required to have advanced mathematics knowledge such...
University College London, 2016. — 121 p. Document providing an excellent series of tutorials on the use of R for Spatial Data Analysis. An Introduction to R Data exploration in R Bivariate Plots in R Finding Relationships in R Making maps in R Mapping Point Data in R Using R as a GIS Representing Densities in R Measuring Spatial Autocorrelation in R Geographically Weighted...
Практические наборы данных (datasets) к книге Lansley G., Cheshire J. An Introduction to Spatial Data Analysis and Visualisation in R Архив содержит следующие файлы: camdenhousesales.zip (shape-файл) - к главам 7, 8, 11 camdenoa11.zip (shape-файл) - к главам 5-12 practicaldata.csv (CSV-файл) - к главам 2-7, 9, 10, 11 camdenhousesales15.csv (CSV-файл) - к главе 6
4th Edition. — Packt Publishing, 2023. — 763 p. — ISBN 9781801071321. Learn how to solve real-world data problems using machine learning and R Key Features - The 10th Anniversary Edition of the bestselling R machine learning book, updated with 50% new content for R 4.0.0 and beyond - Harness the power of R to build flexible, effective, and transparent machine learning models -...
Packt Publishing, 2017. — 366 p. Key Features Use R's popular packages—such as ggplot2, ggvis, ggforce, and more—to create custom, interactive visualization solutions. Create, design, and build interactive dashboards using Shiny A highly practical guide to help you get to grips with the basics of data visualization techniques, and how you can implement them using R Book...
Packt Publishing, 2017. — 366 p. !Code files only Key Features Use R's popular packages—such as ggplot2, ggvis, ggforce, and more—to create custom, interactive visualization solutions. Create, design, and build interactive dashboards using Shiny A highly practical guide to help you get to grips with the basics of data visualization techniques, and how you can implement them...
New York: Martin Laredo Publishers, 2017. — 46 p. — ASIN B01N9WJGGW. Are you ready to learn a new coding language? Are you in charge of working with statistics or need to get through a large amount of data and you are worried about how to get it all done in a manageable way? Then it is time to learn how to use the R programming language. This language was designed with the idea...
Chapman and Hall/CRC, 2012. — 479 p. — ISBN: 1439856826, 9781439856826. Programming Graphical User Interfaces with R introduces each of the major R packages for GUI programming: RGtk2, qtbase, Tcl/Tk, and gWidgets. With examples woven through the text as well as stand-alone demonstrations of simple yet reasonably complete applications, the book features topics especially...
CRC Press, 2022. — 332 p. — ISBN 9781032128078. Large biological data, which are often noisy and high-dimensional, have become increasingly prevalent in biology and medicine. There is a real need for good training in statistics, from data exploration through to analysis and interpretation. This book provides an overview of statistical and dimension reduction methods for...
CRC Press, 2014. — 374 p. — ISBN: 1466565721 Choose the Proper Statistical Method for Your Sensory Data Issue Analyzing Sensory Data with R gives you the foundation to analyze and interpret sensory data. The book helps you find the most appropriate statistical method to tackle your sensory data issue. Covering quantitative, qualitative, and affective approaches, the book...
Wiley, 2013. – 362 p. – ISBN: 111844714X, 9781118447147 Collecting, analyzing, and extracting valuable information from a large amount of data requires easily accessible, robust, computational and analytical tools. Data Mining and Business Analytics with R utilizes the open source software R for the analysis, exploration, and simplification of large high–dimensional data sets....
Elsevier, 2023. — 274 p. — eBook ISBN: 9780128126974. In today’s competitive environment, airlines are doing everything they can to improve efficiency and productivity. Productivity and Efficiency Measurement of Airlines: Data Envelopment Analysis using R identifies and explains sources of airline efficiency and helps achieve these goals through the use of state-of-the-art...
Elsevier, 2023. — 274 p. — eBook ISBN: 9780128126974. In today’s competitive environment, airlines are doing everything they can to improve efficiency and productivity. Productivity and Efficiency Measurement of Airlines: Data Envelopment Analysis using R identifies and explains sources of airline efficiency and helps achieve these goals through the use of state-of-the-art...
Independently published, 2021. — 806 p. — ASIN B094GRNFY2. This is a book by a DCF practitioner for DCF practitioners. It is like no other. Plus, it comes packed with thousands of lines of complimentary R code. DCF valuation is long overdue for much needed changes. This book clearly presents ‘why’ these changes are needed as well as the tools necessary to implement them....
Independently published, 2021. — 392 p. — ISBN B08W4GGM72. This courseware is intended to be read as a self-study guide or as a book for R programming training. R is an open-source programming language for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely used among statisticians and data miners for developing...
Independently published, 2021. — 392 p. — ISBN B08W4GGM72. This courseware is intended to be read as a self-study guide or as a book for R programming training. R is an open-source programming language for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely used among statisticians and data miners for developing...
Independently published, 2021. — 392 p. — ISBN B08W4GGM72. This courseware is intended to be read as a self-study guide or as a book for R programming training. R is an open-source programming language for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely used among statisticians and data miners for developing...
Devoniant, 2024. — 389 p. — (Graphic Guide to Programming). — ASIN: B0D79JVTYX. Ditch the text, unleash the graphic genius! This book is your key to mastering R through the captivating world of data visualization. With Processing's user-friendly interface, you'll be drawing shapes, animating scenes, and creating interactive experiences – all while mastering the power of R....
O’Reilly Media | 2011 | ISBN: 1449303536 | 38 pages | How do you use R to import, manage, visualize, and analyze real-world data? With this short, hands-on tutorial, you learn how to collect online data, massage it into a reasonable form, and work with it using R facilities to interact with web servers, parse HTML and XML, and more. Rather than use canned sample data, you'll...
O’Reilly Media, 2009. — 29 p. — ISBN 9780596804770. This article demonstrates how the realworld data is imported, managed, visualized, and analyzed within the R statistical framework. Presented as a spatial mashup, this tutorial introduces the user to R packages, R syntax, and data structures. The user will learn how the R environment works with R packages as well as its own...
SAGE Publications, 2016. — 224 p. — ISBN: 1452288887. Practical Propensity Score Methods Using R by Walter Leite is a practical book that uses a step-by-step analysis of realistic examples to help students understand the theory and code for implementing propensity score analysis with the R statistical language. With a comparison of both well-established and cutting-edge propensity...
Cambridge University Press, 2020. — 382 p. — ISBN 978-1-108-61604-1. Biostatistics with R provides a straightforward introduction on how to analyse data from the wide field of biological research, including nature protection and global change monitoring. The book is centred around traditional statistical approaches, focusing on those prevailing in research publications. The...
2nd ed. — Packt Publishing, 2017. — 420 p. — ASIN B01N5XJ3O0. +Sample files Key Features Understand and apply machine learning methods using an extensive set of R packages such as XGBOOST Understand the benefits and potential pitfalls of using machine learning methods such as Multi-Class Classification and Unsupervised Learning Implement advanced concepts in machine learning...
2nd Edition. — Packt Publishingm, 2017. — 420 p. — ASIN B01N5XJ3O0. Master machine learning techniques with R to deliver insights in complex projects. This book will teach you advanced techniques in machine learning with the latest code in R 3.3.2. You will delve into statistical learning theory and supervised learning; design efficient algorithms; learn about creating...
2nd Edition. — Packt Publishingm, 2017. — 420 p. — ASIN B01N5XJ3O0. Master machine learning techniques with R to deliver insights in complex projects. This book will teach you advanced techniques in machine learning with the latest code in R 3.3.2. You will delve into statistical learning theory and supervised learning; design efficient algorithms; learn about creating...
Packt, 2015. — 374 p. — ISBN: 978-1-78398-452-7 Machine learning is a field of Artificial Intelligence to build systems that learn from data. Given the growing prominence of R—a cross-platform, zero-cost statistical programming environment—there has never been a better time to start applying machine learning to your data. The book starts with introduction to Cross-Industry...
Packt, 2015. — 374 p. — ISBN: 978-1-78398-452-7 Machine learning is a field of Artificial Intelligence to build systems that learn from data. Given the growing prominence of R—a cross-platform, zero-cost statistical programming environment—there has never been a better time to start applying machine learning to your data. The book starts with introduction to Cross-Industry...
Createspace, 2013. — 332 p. 100 Statistical Tests in R is designed to give you rapid access to one hundred of the most popular statistical tests. It shows you, step by step, how to carry out these tests in the free and popular R statistical package. The book was created for the applied researcher whose primary focus is on their subject matter rather than mathematical lemmas or...
CreateSpace Independent Publishing Platform, 2015. — 598 p. — ISBN: 151751679X, 9781517516796
This jam-packed book takes you under the hood with step by step instructions using the popular and free R predictive analytics package. It provides numerous examples, illustrations and exclusive use of real data to help you leverage the power of predictive analytics. A book for every...
Internet, 2016. — 200 p. — ASIN: B01D0PJMCI Who Else Wants to Learn from Data the Easy Way? Start building smarter models today using R! Master Learning from Data with this fun, practical, hands on guide. This book provides an accessible, hands on easy to follow guide to building machine learning models. It explains what learning from data is all about, why it should be part of...
CreateSpace Independent Publishing Platform, 2017. — 356 p. — ISBN: 978-1546483755. Finally, A Blueprint for Machine Learning with R! Machine Learning Made Easy with R offers a practical tutorial that uses hands-on examples to step through real-world applications using clear and practical case studies. Through this process it takes you on a gentle, fun and unhurried journey to...
CreateSpace, 2014. — 394 p. — ISBN: 1490433546 Wish you had fresh ways to present data, explore relationships, visualize high volume data-sets and break free from mundane charts and diagrams? Visualizing complex relationships with ease using R begins here. In this book you will find innovative ideas to unlock the relationships in your own data and create killer visuals to help you...
Springer – 2012, 256 pages ISBN: 1461412374 For behavioral research practitioners who are interested in learning R Provides practical advice on some of the widely-used statistical methods in behavioral research, using a set of notes and annotated examples Emphasizes practical data analytic skills This book is written for behavioral scientists who want to consider adding R to...
Packt Publishing, 2014. — 190 p. — ISBN13: 978-1783554553. R has undergone an explosion of popularity around the world. The wide range of graphs and options for creating high-impact visualizations makes R a highly effective tool for researchers, data analysts, students, and others. This book starts with the basics of R and the principles of creating graphics, focusing on...
Packt Publishing, 2014. — 190 p. — ISBN13: 978-1783554553. R has undergone an explosion of popularity around the world. The wide range of graphs and options for creating high-impact visualizations makes R a highly effective tool for researchers, data analysts, students, and others. This book starts with the basics of R and the principles of creating graphics, focusing on...
Packt Publishing, 2014. — 190 p. — ISBN13: 978-1783554553. R has undergone an explosion of popularity around the world. The wide range of graphs and options for creating high-impact visualizations makes R a highly effective tool for researchers, data analysts, students, and others. This book starts with the basics of R and the principles of creating graphics, focusing on...
Packt Publishing, 2014. — 190 p. — ISBN13: 978-1783554553. R has undergone an explosion of popularity around the world. The wide range of graphs and options for creating high-impact visualizations makes R a highly effective tool for researchers, data analysts, students, and others. This book starts with the basics of R and the principles of creating graphics, focusing on...
Packt Publishing, 2015. — 176 p. — ISBN: 1783989262, 9781783989263 Overcome performance difficulties in R with a range of exciting techniques and solutions About This Book Benchmark and profile R programs to solve performance bottlenecks Combine the ease of use and flexibility of R with the power of big data tools Filled with practical techniques and useful code examples to...
Packt Publishing, 2015. — 176 p. — ISBN: 1783989262 Overcome performance difficulties in R with a range of exciting techniques and solutions About This Book Benchmark and profile R programs to solve performance bottlenecks Combine the ease of use and flexibility of R with the power of big data tools Filled with practical techniques and useful code examples to process large data...
Springer, 2012. — 284 p. — ISBN: 3642240062, 9783642240065 This book focuses on the analysis of dose-response microarray data in pharmaceutical settings, the goal being to cover this important topic for early drug development experiments and to provide user-friendly R packages that can be used to analyze this data. It is intended for biostatisticians and bioinformaticians in...
Cambridge University Press – 2004, 354 pages
ISBN10: 0521837413
Many observed phenomena, from the changing health of a patient to values on the stock market, are characterised by quantities that vary over time: stochastic processes are designed to study them. Much theoretical work has been done but virtually no modern books are available to show how the results can be applied....
Norwich (U.K.): Vor Press, 2023. - 248 p. - ISBN 1915500044. Introduction Statistics is a seemingly very mysterious yet necessary subject at graduate level . Many graduate students are required to use statistics to carry out their research, be their study in science, medicine, engineering, business, or social sciences. Most universities provide basic courses in statistics for...
Norwich (U.K.): Vor Press, 2023. — 248 p. —(Серия: Statistics without Mathematics). — ISBN 978-1915500044. Introduction Statistics is a seemingly very mysterious yet necessary subject at graduate level. Many graduate students are required to use statistics to carry out their research, be their study in science, medicine, engineering, business, or social sciences. Most...
Packt Publishing, 2018. — 248 p. — ISBN: 1788478401. True PDF This book demonstrates end-to-end implementations of five real-world projects on popular topics in deep learning such as handwritten digit recognition, traffic light detection, fraud detection, text generation, and sentiment analysis. You'll learn how to train effective neural networks in R-including convolutional...
Springer – 1999, 303 pages ISBN: 0387987754, 9780387987750 Separation of signal from noise is the most fundamental problem in data analysis, arising in such fields as: signal processing, econometrics, actuarial science, and geostatistics. This book introduces the local regression method in univariate and multivariate settings, with extensions to local likelihood and density...
Academic Press, 2021. — 275 p. — ISBN 0128207884, 9780128207888. Basic Statistics with R: Reaching Decisions with Data provides an understanding of the processes at work in using data for results. Sections cover data collection and discuss exploratory analyses, including visual graphs, numerical summaries, and relationships between variables - basic probability, and statistical...
Academic Press, 2021. — 275 p. — ISBN 0128207884, 9780128207888. Basic Statistics with R: Reaching Decisions with Data provides an understanding of the processes at work in using data for results. Sections cover data collection and discuss exploratory analyses, including visual graphs, numerical summaries, and relationships between variables - basic probability, and statistical...
ISBN: 1405190086 | Издательство: Wiley-Blackwell | Год: 2010 | Страницы: 576| Язык: Английский |
R - the statistical and graphical environment is rapidly emerging as an important set of teaching and research tools for biologists. This book draws upon the popularity and free availability of R to couple the theory and practice of biostatistics into a single treatment so as to pre a...
School of Biological Sciences, Monah University, 2008. Manual for statistics in R programming. Running &Installation R under windows. Rcmdr. Data files. Summary statistics. Two sample test. Correlation and regression. ANOVA. Analyses of frequences. Multivariate analyses.
2nd Edition. — O’Reilly Media, 2019. — 600 p. — ISBN: 1492040681, 978-1492040682. Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be difficult to master. These task-oriented recipes make you productive with R...
2nd Edition. — O’Reilly Media, 2019. — 600 p. — ISBN: 1492040681, 978-1492040682. Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be difficult to master. These task-oriented recipes make you productive with R...
2nd Edition. — O’Reilly Media, 2019. — 600 p. — ISBN: 978-1-492-04068-2. Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be difficult to master. These task-oriented recipes make you productive with R immediately....
2nd Edition. — O’Reilly Media, 2019. — 600 p. — ISBN: 978-1-492-04068-2. Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be difficult to master. These task-oriented recipes make you productive with R immediately....
Chapman and Hall/CRC, 2014. — 375 p. — ISBN: 1466568321, 9781466568327 There is no shortage of incentives to study and reduce poverty in our societies. Poverty is studied in economics and political sciences, and population surveys are an important source of information about it. The design and analysis of such surveys is principally a statistical subject matter and the computer...
Chapman and Hall/CRC, 2019. — 354 p. — (The R series). — ISBN: 1138304514, 9781138304512. Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge...
Chapman and Hall/CRC, 2016. — 282 p. — ISBN10: 1498711545. — ISBN13: 978-1498711548. — Series: Chapman & Hall/CRC The R Series Generate and Analyze Multi-Level Data Spatial microsimulation involves the generation, analysis, and modeling of individual-level data allocated to geographical zones. Spatial Microsimulation with R is the first practical book to illustrate this...
Springer, 2015. — 238 p. — ISBN: 3319238825 Presenting a comprehensive resource for the mastery of network analysis in R, the goal of Network Analysis with R is to introduce modern network analysis techniques in R to social, physical, and health scientists. The mathematical foundations of network analysis are emphasized in an accessible way and readers are guided through the...
Wiley, 2010. — 296 p. — ISBN 0470284307. A complete guide to carrying out complex survey analysis using R. As survey analysis continues to serve as a core component of sociological research, researchers are increasingly relying upon data gathered from complex surveys to carry out traditional analyses. Complex Surveys is a practical guide to the analysis of this kind of data...
O’Reilly Media, Inc., 2020. — 296 p. — ISBN: 978-1-492-04637-0. If you’re like most R users, you have deep knowledge and love for statistics. But as your organization continues to collect huge amounts of data, adding tools such as Apache Spark makes a lot of sense. With this practical book, data scientists and professionals working with large-scale data applications will learn...
O’Reilly Media, Inc., 2020. — 283 p. — ISBN: 978-1-492-04637-0. If you’re like most R users, you have deep knowledge and love for statistics. But as your organization continues to collect huge amounts of data, adding tools such as Apache Spark makes a lot of sense. With this practical book, data scientists and professionals working with large-scale data applications will learn...
O’Reilly Media, Inc., 2020. — 283 p. — ISBN: 978-1-492-04637-0. If you’re like most R users, you have deep knowledge and love for statistics. But as your organization continues to collect huge amounts of data, adding tools such as Apache Spark makes a lot of sense. With this practical book, data scientists and professionals working with large-scale data applications will learn...
O’Reilly Media, Inc., 2020. — 296 p. — ISBN: 149204637X If you’re like most R users, you have deep knowledge and love for statistics. But as your organization continues to collect huge amounts of data, adding tools such as Apache Spark makes a lot of sense. With this practical book, data scientists and professionals working with large-scale data applications will learn how to...
Springer, 2014. — 165 p. — ISBN: 3319025317. На англ. языке. Through real-world datasets, this book shows the reader how to work with material in biostatistics using the open source software R. These include tools that are critical to dealing with missing data, which is a pressing scientific issue for those engaged in biostatistics. Readers will be equipped to run analyses and...
Publisher: Springer | ISBN: 1461421330 | 2011 | 149 pages |
In statistics, analysis of variance (ANOVA) is a collection of statistical models used to distinguish between an observed variance in a particular variable and its component parts. In its simplest form, ANOVA provides a statistical test of whether or not the means of several groups are all equal, and therefore...
Springer, 2016. — 329 p. — ISBN: 3319306332, 9783319306339. This book contains a rich set of tools for nonparametric analyses, and the purpose of this supplemental text is to provide guidance to students and professional researchers on how R is used for nonparametric data analysis in the biological sciences: To introduce when nonparametric approaches to data analysis are...
Boca Raton, USA: CRC Press, Taylor & Francis Group, 2018. — 261 p. — (The R Series). — ISBN: 1138386359. Do you want to use R to tell stories? This book was written for you-whether you already know some R or have never coded before. Most R texts focus only on programming or statistical theory. Practical R for Mass Communication and Journalism gives you ideas, tools, and...
2nd ed. — Birmingham: Packt Publishing, 2023. — 395 p. — ISBN 1837634270. Discover over 80 recipes for modeling and handling real-life biological data using modern libraries from the R ecosystem. Key Features Apply modern R packages to process biological data using real-world examples. Represent biological data with advanced visualizations and workflows suitable for research...
Packt Publishing, 2019. — 518 p. — ISBN: 978-1-78995-069-4. Over 60 recipes to model and handle real-life biological data using modern libraries from the R ecosystem Handling biological data effectively requires an in-depth knowledge of machine learning techniques and computational skills, along with an understanding of how to use tools such as edgeR and DESeq. With the R...
Packt Publishing, 2019. — 518 p. — ISBN: 978-1-78995-069-4. Over 60 recipes to model and handle real-life biological data using modern libraries from the R ecosystem Handling biological data effectively requires an in-depth knowledge of machine learning techniques and computational skills, along with an understanding of how to use tools such as edgeR and DESeq. With the R...
Packt Publishing, 2019. — 518 p. — ISBN: 978-1-78995-069-4. Over 60 recipes to model and handle real-life biological data using modern libraries from the R ecosystem Handling biological data effectively requires an in-depth knowledge of machine learning techniques and computational skills, along with an understanding of how to use tools such as edgeR and DESeq. With the R...
Springer, 2017. — 183 p. — (Use R!). — ISBN: 9783319692173 EISBN 9783319692180. The goal of this guide and manual is to provide a practical and brief overview of the theory on computerized adaptive testing (CAT) and multistage testing (MST) and to illustrate the methodologies and applications using R open source language and several data examples. Implementation relies on the R...
Springer International Publishing AG, 2017. — 183 p. — (Use R!) — ISBN: 978-3-319-69217-3. Adaptive testing is, by now, a well-established procedure in educational and psychological assessment. Early adopters in the educational field in the USA were the icensing exam (NCLEX/CAT) of the National Council of State Boards of Nursing and the Graduate Record Examination (GRE). But at...
Zurich: Finance Online GmbH, 2010. — 96 p. — (R/Rmetrics eBook). — ISBN: 9783906041056. This is a book about data management of Indian financial market data for R/Rmetrics. It is especially suited to students, academics, and researchers who have otherwise no access to Indian financial market data. This Rmetrics eBook comes with dozens of examples showing how to efficiently access...
Apress, 2017. — 110 p. — ISBN13: 978-1-4842-2918-7. Learn how to write object-oriented programs in R and how to construct classes and class hierarchies in the three object-oriented systems available in R. This book gives an introduction to object-oriented programming in the R programming language and shows you how to use and apply R in an object-oriented manner. You will then...
New York, USA: Apress Media LLC, 2018. — 257 p. — ISBN: 1484235878 Gain an accelerated introduction to domain-specific languages in R, including coverage of regular expressions. This compact, in-depth book shows you how DSLs are programming languages specialized for a particular purpose, as opposed to general purpose programming languages. Along the way, you’ll learn to specify...
New York, USA: Apress Media LLC, 2018. — 152 p. — ISBN: 1484235878 Gain an accelerated introduction to domain-specific languages in R, including coverage of regular expressions. This compact, in-depth book shows you how DSLs are programming languages specialized for a particular purpose, as opposed to general purpose programming languages. Along the way, you’ll learn to specify...
New York, USA: Apress Media LLC, 2018. — 180 p. — ISBN: 1484235878 Gain an accelerated introduction to domain-specific languages in R, including coverage of regular expressions. This compact, in-depth book shows you how DSLs are programming languages specialized for a particular purpose, as opposed to general purpose programming languages. Along the way, you’ll learn to specify...
True PDF Apress, 2017. — 262 p. — ISBN: 978-1-4842-3143-2. Get an introduction to functional data structures using R and write more effective code and gain performance for your programs. This book teaches you workarounds because data in functional languages is not mutable: for example you’ll learn how to change variable-value bindings by modifying environments, which can be...
Apress, 2017. — 262 p. — ISBN: 978-1-4842-3143-2. Get an introduction to functional data structures using R and write more effective code and gain performance for your programs. This book teaches you workarounds because data in functional languages is not mutable: for example you’ll learn how to change variable-value bindings by modifying environments, which can be exploited to...
Apress, 2017. — 262 p. — ISBN: 978-1-4842-3143-2. Code files only! Get an introduction to functional data structures using R and write more effective code and gain performance for your programs. This book teaches you workarounds because data in functional languages is not mutable: for example you’ll learn how to change variable-value bindings by modifying environments, which...
Apress, 2017. — 104 p. — ISBN13: 978-1484227459. Master functions and discover how to write functional programs in R. In this concise book, you'll make your functions pure by avoiding side-effects; you’ll write functions that manipulate other functions, and you’ll construct complex functions using simpler functions as building blocks. In Functional Programming in R, you’ll see...
Apress, 2017. — 104 p. — ISBN13: 978-1484227459. Master functions and discover how to write functional programs in R. In this concise book, you'll make your functions pure by avoiding side-effects; you’ll write functions that manipulate other functions, and you’ll construct complex functions using simpler functions as building blocks. In Functional Programming in R, you’ll see...
Apress, 2017. — 104 p. — ISBN: 9781484227459 Master functions and discover how to write functional programs in R. In this concise book, you'll make your functions pure by avoiding side-effects; you’ll write functions that manipulate other functions, and you’ll construct complex functions using simpler functions as building blocks. In Functional Programming in R, you’ll see how...
Apress, 2017. — 103 p. — ISBN: 978-1484228807. Learn how to manipulate functions and expressions to modify how the R language interprets itself. This book is an introduction to metaprogramming in the R language, so you will write programs to manipulate other programs. Metaprogramming in R shows you how to treat code as data that you can generate, analyze, or modify. R is a very...
New York: Apress, 2017. - 103 p. Learn how to manipulate functions and expressions to modify how the R language interprets itself. This book is an introduction to metaprogramming in the R language, so you will write programs to manipulate other programs. Metaprogramming in R shows you how to treat code as data that you can generate, analyze, or modify. R is a very high-level...
Apress, 2019. — 246 p. — eBook ISBN 978-1-4842-4894-2. In this handy, practical book you will cover each concept concisely, with many illustrative examples. You'll be introduced to several R data science packages, with examples of how to use each of them. In this book, you’ll learn about the following APIs and packages that deal specifically with data science applications:...
Apress, 2019. — 246 p. — ISBN: 978-1484248935, 1484248937. In this handy, practical book you will cover each concept concisely, with many illustrative examples. You'll be introduced to several R data science packages, with examples of how to use each of them. In this book, you’ll learn about the following APIs and packages that deal specifically with data science applications:...
Apress, 2019. — 246 p. — ISBN: 978-1484248935, 1484248937. In this handy, practical book you will cover each concept concisely, with many illustrative examples. You'll be introduced to several R data science packages, with examples of how to use each of them. In this book, you’ll learn about the following APIs and packages that deal specifically with data science applications:...
Apress, 2019. — 246 p. — ISBN: 978-1484248935, 1484248937. In this handy, practical book you will cover each concept concisely, with many illustrative examples. You'll be introduced to several R data science packages, with examples of how to use each of them. In this book, you’ll learn about the following APIs and packages that deal specifically with data science applications:...
Apress, 2019. — 246 p. — ISBN: 978-1484248935, 1484248937. In this handy, practical book you will cover each concept concisely, with many illustrative examples. You'll be introduced to several R data science packages, with examples of how to use each of them. In this book, you’ll learn about the following APIs and packages that deal specifically with data science applications:...
Apress, 2019. — 246 p. — ISBN: 978-1484248935, 1484248937. In this handy, practical book you will cover each concept concisely, with many illustrative examples. You'll be introduced to several R data science packages, with examples of how to use each of them. In this book, you’ll learn about the following APIs and packages that deal specifically with data science applications:...
Apress, 2017. — 110 p. — ISBN13: 978-1-4842-2918-7. Learn how to write object-oriented programs in R and how to construct classes and class hierarchies in the three object-oriented systems available in R. This book gives an introduction to object-oriented programming in the R programming language and shows you how to use and apply R in an object-oriented manner. You will then...
Apress, 2017. — 352 с. — ISBN: 978-1-4842-2670-4. Code files only! Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. This book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R. Beginning Data Science in...
Apress, 2017. — 352 с. — ISBN: 978-1-4842-2670-4. Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. This book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R. Beginning Data Science in R details how...
2nd Edition. — Apress Media, LLC, 2022. — 527 p. — ISBN 978-1-4842-8155-0. Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. Updated for the R 4.0 release, this book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software...
2nd Edition. — Apress Media, LLC, 2022. — 527 p. — ISBN 978-1-4842-8155-0. Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. Updated for the R 4.0 release, this book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software...
2nd Edition. — Apress Media, LLC, 2022. — 527 p. — ISBN 978-1-4842-8155-0. Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. Updated for the R 4.0 release, this book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software...
2nd Edition. — Apress Media, LLC, 2022. — 527 p. — ISBN 978-1-4842-8154-3. Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. Updated for the R 4.0 release, this book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software...
Apress, 2017. — 103 p. — ISBN13: 978-1-4842-2880-7. Learn how to manipulate functions and expressions to modify how the R language interprets itself. This book is an introduction to metaprogramming in the R language, so you will write programs to manipulate other programs. Metaprogramming in R shows you how to treat code as data that you can generate, analyze, or modify. R is a...
3rd Edition. — Cambridge University Press, 2010. — 565 p. — ISBN 0521762936. Introducing the R system, covering standard regression methods, then tackling more advanced topics, this book guides users through the practical, powerful tools that the R system provides. The emphasis is on hands-on analysis, graphical display, and interpretation of data. The many worked examples, from...
Australian National University, 2001. — 112 p. R implements a dialect of the S language that was developed at AT&T Bell Laboratories by Rick Becker, John Chambers and Allan Wilks. Versions of R are available, at no cost, for 32-bit versions of Microsoft Windows for Linux, for Unix and for Macintosh systems 8.6 or later. It is available through the Comprehensive R Archive Network...
Australian National University, 2008. — 96 p. — ISBN: N/A
These notes are designed to allow individuals who have a basic grounding in statistical methodology to work through examples that demonstrate the use of R for a range of types of data manipulation, graphical presentation and statistical analysis. Books that provide a more extended commentary on the methods illustrated in...
Cambridge: Cambridge University Press, 2024. — 550 p. — ISBN 1009282271. Using diverse real-world examples, this text examines what models used for data analysis mean in a specific research context. What assumptions underlie analyses, and how can you check them ? Building on the successful 'Data Analysis and Graphics Using R,' 3rd. edition (Cambridge, 2010), it expands upon...
Tem response theory models (IRT) are increasingly becoming established in social science research, particularly in the analysis of performance or attitudinal data in psychology, education, medicine, marketing and other fields where testing is relevant. We propose the R package eRm (extended Rasch modeling) for computing Rasch models and several extensions. A main characteristic of...
Packt Publishing, 2017. — 992 p. — ASIN B072XN54R9. +Sample files Create data mining algorithms About This Book Develop a strong strategy to solve predictive modeling problems using the most popular data mining algorithms Real-world case studies will take you from novice to intermediate to apply data mining techniques Deploy cutting-edge sentiment analysis techniques to...
Packt Publishing, 2017. — 992 p. — ASIN B072XN54R9. +Sample files Create data mining algorithms About This Book Develop a strong strategy to solve predictive modeling problems using the most popular data mining algorithms Real-world case studies will take you from novice to intermediate to apply data mining techniques Deploy cutting-edge sentiment analysis techniques to...
Packt Publishing, 2017. — 992 p. — ASIN B072XN54R9. +True PDF +Sample files Create data mining algorithms About This Book Develop a strong strategy to solve predictive modeling problems using the most popular data mining algorithms Real-world case studies will take you from novice to intermediate to apply data mining techniques Deploy cutting-edge sentiment analysis techniques...
N.-Y.: Packt Publishing, 2014. — 380 p. Develop key skills and techniques with R to create and customize data mining algorithms About This BookDevelop a sound strategy for solving predictive modeling problems using the most popular data mining algorithmsGain understanding of the major methods of predictive modelingPacked with practical advice and tips to help you get to grips...
Springer, 2017. — 271 p. — ISBN: 9783319443256
This book describes and provides many detailed examples of implementing Digital Soil Mapping (DSM) using R. The work adheres to Digital Soil Mapping theory, and presents a strong focus on how to apply it. DSM exercises are also included and cover procedures for handling and manipulating soil and spatial data in R. The book also...
Springer – 2007, 258 pages ISBN: 0387389792 This Bayesian modeling book is intended for practitioners and applied statisticians looking for a self-contained entry to computational Bayesian statistics. Focusing on standard statistical models and backed up by discussed real datasets available from the book website, it provides an operational methodology for conducting Bayesian...
Second Edition. — Springer, 2013. — 305 Pages. — ISBN: 9781461486862, e-ISBN: 9781461486879.
This Bayesian modeling book provides a self-contained entry to computational Bayesian statistics. Focusing on the most standard statistical models and backed up by real datasets and an all-inclusive R (CRAN) package called bayess, the book provides an operational methodology for...
Princeton University. – 68 p. – ISBN: N/A The Undergraduate Guide to R is an introduction to the R programming language for beginners. After reading this book, you will be able to perform most common data manipulating, analyzing, comparing and viewing tasks with R. The book also provides the necessary foundation blocks to enable the reader to progress to more advanced R...
Springer, 2017. — 173 p. — (Use R!). — ISBN: 9783319653556, 3319653555, 9783319653549. Constantino Antonio García Martínez, Abraham Otero Quintana, Xosé A. Vila, María José Lado Touriño, Leandro Rodríguez-Liñares, Jesús María Rodríguez Presedo, Arturo José Méndez Penín. This book introduces readers to the basic concepts of Heart Rate Variability (HRV) and its most important...
CRC Press, 2023. — 348 р. — ISBN: 978-0-367-51538-6. This book covers the computational aspects of psychometric methods involved in developing measurement instruments and analyzing measurement data in social sciences. It covers the main topics of psychometrics such as validity, reliability, item analysis, item response theory models, and computerized adaptive testing. The...
Academic Press, 2010. - 336 pages. Designed for a one or two semester senior undergraduate or graduate bioinformatics course, Statistical Bioinformatics takes a broad view of the subject - not just gene expression and sequence analysis, but a careful balance of statistical theory in the context of bioinformatics applications. The inclusion of R code as well as the development...
N.-Y.: CRC Press, 2015. — 328 p. Parallel Computing for Data Science: With Examples in R, C++ and CUDA is one of the first parallel computing books to concentrate exclusively on parallel data structures, algorithms, software tools, and applications in data science. It includes examples not only from the classic "n observations, p variables" matrix format but also from time...
R is the world's most popular language for developing statistical software: Archaeologists use it to track the spread of ancient civilizations, drug companies use it to discover which medications are safe and effective, and actuaries use it to assess financial risks and keep economies running smoothly. The Art of R Programming takes you on a guided tour of software development...
Wiley, 2011. — 477 p. — ISBN: 9780470699782, 9780470699799 Ecological research is becoming increasingly quantitative, yet students often opt out of courses in mathematics and statistics, unwittingly limiting their ability to carry out research in the future. This textbook provides a practical introduction to quantitative ecology for students and practitioners who have realised...
Packt Publishing, 2015. — 332 p. — ISBN: 1782169350, 9781782169352
R is statistical software that is used for data analysis. There are two main types of learning from data: unsupervised learning, where the structure of data is extracted automatically; and supervised learning, where a labeled part of the data is used to learn the relationship or scores in a target attribute. As...
Syncfusion Inc., 2017. — 108 p. The R programming language on its own is a powerful tool that can perform thousands of statistical tasks, but by writing programs in R, you gain tremendous power and flexibility to extend its base functionality. Senior Succinctly series author and editor James McCaffrey shows you how in R Programming Succinctly. Getting Started Vectors and...
Syncfusion Inc., 2017. — 108 p. The R programming language on its own is a powerful tool that can perform thousands of statistical tasks, but by writing programs in R, you gain tremendous power and flexibility to extend its base functionality. Senior Succinctly series author and editor James McCaffrey shows you how in R Programming Succinctly. Getting Started Vectors and...
Publisher: O’Reilly Media 2011 | 122 Pages | ISBN: 1449309925 | It’s tough to argue with R as a high-quality, cross-platform, open source statistical software product—unless you’re in the business of crunching Big Data. This concise book introduces you to several strategies for using R to analyze large datasets. You’ll learn the basics of Snow, Multicore, Parallel, and some...
Publisher: O’Reilly Media 2011 | 122 Pages | ISBN: 1449309925 | It’s tough to argue with R as a high-quality, cross-platform, open source statistical software product—unless you’re in the business of crunching Big Data. This concise book introduces you to several strategies for using R to analyze large datasets. You’ll learn the basics of Snow, Multicore, Parallel, and some...
Wiley, 2021. — 365 p. — ISBN 978-1119689706. A unique text that simplifies experimental business design and is dedicated to the R language Business Experiments with R offers a guide and explores the fundamentals of experiment business designs. The book fills a gap in the literature with its discussion of business statistics, addressing issues such as small samples, lack of...
In Easy Steps Limited, 2018. — 192 p. — ISBN: 978-1840787955. The R language is widely used by statisticians for data analysis, and the popularity of R programming has therefore increased substantially in recent years. The emerging Internet of Things (IoT) gathers increasing amounts of data that can be analyzed to gain useful insights into trends. R for Data Analysis in easy...
In Easy Steps Limited, 2018. — 192 p. — ISBN: 978-1840787955. The R language is widely used by statisticians for data analysis, and the popularity of R programming has therefore increased substantially in recent years. The emerging Internet of Things (IoT) gathers increasing amounts of data that can be analyzed to gain useful insights into trends. R for Data Analysis in easy...
In Easy Steps Limited, 2018. — 192 p. — ISBN: 978-1840787955. Only CODE files! The R language is widely used by statisticians for data analysis, and the popularity of R programming has therefore increased substantially in recent years. The emerging Internet of Things (IoT) gathers increasing amounts of data that can be analyzed to gain useful insights into trends. R for Data...
John Wiley & Sons, Inc., 2024. — 632 р. — ISBN: 978-1119754978. Professional resource providing an introduction to R coding for actuarial and financial mathematics applications, with real-life examples. R Programming for Actuarial Science provides a grounding in R programming applied to the mathematical and statistical methods that are of relevance for actuarial work. In R...
Independently published, 2019. — 164 p. — ISBN: 978-1710374117 (paperback). Do you want to get started learning how to program, but don't know where to begin? Are you interested in moving beyond Excel sheets and learning one of the most powerful programming language used in cutting edge research such as machine learning? If you answered yes to any of these questions, then this...
Meys J., de Vries A. R for Dummies
Wiley – 2012, 406 pages
ISBN: 1119962846, 9781119962847
Still trying to wrap your head around R?
With more than two million users, R is the open-source programming language standard for data analysis and statistical modeling. R is packed with powerful programming capabilities, but learning to use R in the real world can be overwhelming...
Wiley, 2011. — 366 p. — ISBN: 0470094826. This book takes a fresh look at the popular and well-established method of maximum likelihood for statistical estimation and inference. It begins with an intuitive introduction to the concepts and background of likelihood, and moves through to the latest developments in maximum likelihood methodology, including general latent variable...
Springer, 2002. — 270 p. — 2nd ed. — ISBN: 0387953981, 9780387953984 This is the User's Manual to the software package EnvironmentalStats for S-PLUS, which is an add-on module for S-PLUS providing the first comprehensive software package for environmental scientists, engineers, and regulators. The new edition provides the documentation for Version 2.0 (which runs under S-PLUS...
Packt Publishing, 2017. — 448 p. Master the craft of predictive modeling in R by developing strategy, intuition, and a solid foundation in essential concepts R offers a free and open source environment that is perfect for both learning and deploying predictive modeling solutions. With its constantly growing community and plethora of packages, R offers the functionality to deal...
Pearson, 2015. — 480 p. in color. — ISBN: 9780133886559. Now, a leader of Northwestern University's prestigious analytics program presents a fully-integrated treatment of both the business and academic elements of marketing applications in predictive analytics. Writing for both managers and students, Thomas W. Miller explains essential concepts, principles, and theory in the...
Institute of Transportation Engineers, 2010. — 145 p. The R statistical package can best be thought of, in terms of user interface, as falling some-where in-between SAS and Limdep. Like SAS, R accomplishes different tasks using different procedures. Instead of the procedures being self-contained (like PROC REG in SAS), commands are issued one at a time, like Limdep. However,...
CRC Press, 2014. — 188 p. — ISBN: 9781466584334
This book is intended to be a practical, easy-to-understand guide to carrying out growth curve analysis (multilevel regression) of time course or longitudinal data in the behavioral sciences, particularly cognitive science, cognitive neuroscience, and psychology. Multilevel regression is becoming a more and more prominent...
New York: Packt Publishing, 2016. — 254 p.
Learn about data mining with real-world datasets.
Diverse real-world datasets to teach data mining techniques. Practical and focused on real-world data mining cases, this book covers concepts such as spatial data mining, text mining, social media mining, and web mining. Real-world case studies illustrate various data mining...
Packt Publishing, 2015. — 368 p. — 2nd ed. — ISBN: 9781783988785
The open source statistical software, R, is one of the most popular choices among researchers from various fields. This software has the capability to produce high-quality graphics, and data visualization is one of the most important tasks in data science tracks. Through effective visualization, we can easily...
Packt Publishing, 2011. — 272 p. — ISBN 1849513066. This hands-on guide cuts short the preamble and gets straight to the point – actually creating graphs, instead of just theoretical learning. Each recipe is specifically tailored to fulfill your appetite for visually representing you data in the best way possible. This book is for readers already familiar with the basics of R...
CRC Press, 2024. — 236 p. — ISBN 9781032189758. The Data Preparation Journey: Finding Your Way With R introduces the principles of data preparation within in a systematic approach that follows a typical data science or statistical workflow. With that context, readers will work through practical solutions to resolving problems in data using the statistical and data science...
Springer, 2015. — 248 p. — (Use R!). — ISBN: 9783319234458
This book provides a narrative of how R can be useful in the analysis of public administration, public policy, and political science data specifically, in addition to the social sciences more broadly. It can serve as a textbook and reference manual for students and independent researchers who wish to use R for the first...
New York: Springer, 2016. — 353 p. — (Use R!). This book and app is for practitioners, professionals, researchers, and students who want to learn how to make a plot within the R environment using ggplot2, step-by-step without coding. In widespread use in the statistical communities, R is a free software language and environment for statistical programming and graphics. Many...
Springer, 2021. — 155 p. — ISBN 978-3-030-72964-6. This book takes the reader through real-world examples for how to characterize and measure the productivity and performance of NFPs and education institutions—that is, organisations that produce value for society, which cannot be measured accurately in financial KPIs. It focuses on how best to frame non-profit performance and...
Springer, 2021. — 155 p. — ISBN 978-3-030-72964-6. This book takes the reader through real-world examples for how to characterize and measure the productivity and performance of NFPs and education institutions—that is, organisations that produce value for society, which cannot be measured accurately in financial KPIs. It focuses on how best to frame non-profit performance and...
CRC Press / Chapman & Hall, 2024. — 298 p. — (Data Science Series). — ISBN: 978-1-032-63351-0. Spatial data is crucial to improve decision-making in a wide range of fields including environment, health, ecology, urban planning, economy, and society. Spatial Statistics for Data Science: Theory and Practice with R describes statistical methods, modeling approaches, and...
CRC Press / Chapman & Hall, 2024. — 298 p. — (Data Science Series). — ISBN: 978-1-032-63351-0. Spatial data is crucial to improve decision-making in a wide range of fields including environment, health, ecology, urban planning, economy, and society. Spatial Statistics for Data Science: Theory and Practice with R describes statistical methods, modeling approaches, and...
CRC Press / Chapman & Hall, 2024. — 298 p. — (Data Science Series). — ISBN: 978-1-032-63351-0. Spatial data is crucial to improve decision-making in a wide range of fields including environment, health, ecology, urban planning, economy, and society. Spatial Statistics for Data Science: Theory and Practice with R describes statistical methods, modeling approaches, and...
CRC Press / Chapman & Hall, 2024. — 298 p. — (Data Science Series). — ISBN: 978-1-032-63351-0. Spatial data is crucial to improve decision-making in a wide range of fields including environment, health, ecology, urban planning, economy, and society. Spatial Statistics for Data Science: Theory and Practice with R describes statistical methods, modeling approaches, and...
Publisher: Springer | 2011 | ISBN10: 1461406846 | 714 pages | 2nd ed
Statistics and Computing
R is a powerful and free software system for data analysis and graphics, with over 1,200 add-on packages available. This book introduces R using SAS and SPSS terms with which you are already familiar. It demonstrates which of the add-on packages are most like SAS and SPSS and compares...
Springer, 2008. — 470 p. — ISBN 0387094172 R is a powerful and free software system for data analysis and graphics, with over 1,200 add-on packages available. This book introduces R using SAS and SPSS terms with which you are already familiar. It demonstrates which of the add-on packages are most like SAS and SPSS and compares them to R’s built-in functions. It steps through...
Springer, 2010. — 554 p. — ISBN 1441913173 Описание: Stata is the most flexible and extensible data analysis package available from a commercial vendor. R is a similarly flexible free and open source package for data analysis, with over 3,000 add-on packages available. This book shows you how to extend the power of Stata through the use of R. It introduces R using Stata...
Wiley, 2014 2015. — 476 p. — ISBN: 111883481X, 9781118834817. A hands on guide to web scraping and text mining for both beginners and experienced users of R. Introduces fundamental concepts of the main architecture of the web and databases and covers HTTP, HTML, XML, JSON, SQL. Provides basic techniques to query web documents and data sets (XPath and regular expressions). An...
3rd ed. — CRC Press, 2018. — 442 p. — ISBN: 1498789056, 9781498789059. This third edition of Paul Murrell's classic book on using R for graphics represents a major update, with a complete overhaul in focus and scope. It focuses primarily on the two core graphics packages in R - graphics and grid - and has a new section on integrating graphics. This section includes three new...
2nd ed. — CRC Press, 2011. — 535 p. — (Computer Science and Data Analysis) — ISBN: 1439831769, 9781439831762 Features • Comprehensive coverage of the core graphical packages used in R • New chapter on ggplot2 • New chapters on applications and extensions of R Graphics Extensively updated to reflect the evolution of statistics and computing, the second edition of the bestselling...
Chapman and Hall/CRC, 2006. — 301 p. — ISBN 158488486X. R is revolutionizing the world of statistical computing. Powerful, flexible, and best of all free, R is now the program of choice for tens of thousands of statisticians. Destined to become an instant classic, R Graphicspresents the first complete, authoritative exposition on the R graphical system. Paul Murrell, widely...
ISBN: 1584885289 | Издательство: Chapman and Hall/CRC | 2005 | Страницы: 256 Developed by Jean-Paul Benzérci more than 30 years ago, correspondence analysis as a framework for analyzing data quickly found widespread popularity in Europe. The topicality and importance of correspondence analysis continue, and with the tremendous computing power now available and new fields of...
Wiley – 2010, 496 pages ISBN: 0470454636 Generalized Linear Models: With Applications in Engineering and the Sciences, Second Edition continues to provide a clear introduction to the theoretical foundations and key applications of generalized linear models (GLMs). Maintaining the same nontechnical approach as its predecessor, this update has been thoroughly extended to include...
Springer – 2012, 315 pages ISBN: 1461431212 This monograph is a four-fold featuring of adaptive analysis. First is data distillation and comparative coupling whereby the results of one analysis are fed forward into another analysis without necessarily returning directly to the original data matrix, and analytical avenues usually seen as alternatives are pursued in parallel with...
Arcler Press, 2022. — 448 р. — ISBN: 978-1-77469-224-0. This book covers some introductory steps in using R programming language as a Data Science tool. The data science field has evolved so much recently with incredible quantities of generated data. To extract value from those data, one needs to be trained in the proper data science skills like statistical analysis, data...
Springer, 2013. — 172 pages. — ISBN: 978-1-4614-6445-7, e-ISBN: 978-1-4614-6446-4.
Bayesian Networks in R: with Applications in Systems Biology is unique as it introduces the reader to the essential concepts in Bayesian network modeling and inference in conjunction with examples in the open-source statistical environment R. The level of sophistication is also gradually...
Hoboken: John Wiley & Sons, 2014. - 304p.
The aim of this book is to provide an appreciation of the R tools available for optimization problems. Most users of R are not specialists in computation and the workings of the specialized tools are a black box. This can lead to mis-application, therefore users need help in making appropriate choices. This book looks at the principal...
R users can often solve optimization tasks easily using the tools in the optim function in the stats package provided by default on R installations. However, there are many other optimization and nonlinear modelling tools in R or in easily installed add-on packages. These present users with a bewildering array of choices. optimx is a wrapper to consolidate many of these choices...
Springer, 2008. — 260 p. — ISBN 0387759603. Wavelet methods have recently undergone a rapid period of development with important implications for a number of disciplines including statistics. This book has three main objectives: (i) providing an introduction to wavelets and their uses in statistics; (ii) acting as a quick and broad reference to many developments in the area;...
Springer, 2008. — 260 p. — ISBN: 0387759603, 9780387759609
Wavelet methods have recently undergone a rapid period of development with important implications for a number of disciplines including statistics. This book has three main objectives: (i) providing an introduction to wavelets and their uses in statistics; (ii) acting as a quick and broad reference to many developments...
Lulu, 2013. – 542 p. – ISBN: 5800090850531
R is the world’s most popular language for developing statistical software: Archaeologists use it to track the spread of ancient civilizations, drug companies use it to discover which medications are safe and effective, and actuaries use it to assess financial risks and keep economies running smoothly.
This book takes you on a guided...
Packt Publishing, 2017 - 470 p. This step-by-step guide demonstrates how to build simple-to-advanced applications through examples in R using modern tools. R is a high-level statistical language and is widely used among statisticians and data miners to develop analytical applications. Often, data analysis people with great analytical skills lack solid programming knowledge and...
Packt Publishing, 2017 - 470 p. This step-by-step guide demonstrates how to build simple-to-advanced applications through examples in R using modern tools. R is a high-level statistical language and is widely used among statisticians and data miners to develop analytical applications. Often, data analysis people with great analytical skills lack solid programming knowledge and...
2004. – 47 p. – ISBN: N/A This introduction to the freely available statistical software package R is primarily intended for people already familiar with common statistical concepts. Thus the statistical methods used to illustrate the package are not explained in detail. These notes are not meant to be a reference manual, but rather a hands-on introduction for statisticians who...
We describe an implementation of simple, multiple and joint correspondence analysis in R. The resulting package comprises two parts, one for simple correspondence analysis and one for multiple and joint correspondence analysis. Within each part, functions for computation, summaries and visualization in two and three dimensions are provided, including options to display...
Pearson Education, Inc., 2016. — 2063 p. — ISBN: 0672338483, 9780672338489 In just 24 lessons of one hour or less, Sams Teach Yourself R in 24 Hours helps you learn all the R skills you need to solve a wide spectrum of real-world data analysis problems. You’ll master the entire data analysis workflow, learning to build code that’s efficient, reproducible, and suitable for...
Springer-Verlag France, 2013. — 342 p. — (Praticue R). — ISBN: 9782817804248. Cet ouvrage couvre un programme complet de statistique pour la licence de psychologie (L1 à L3), depuis les bases élémentaires de combinatoire et de probabilités jusqu'aux modèles élaborés permettant de mettre à l'épreuve des hypothèses psychologiques. Présentés à partir de données réelles, les...
CRC Press, 2024. — 452 p. — (The R Series). The integration of geology with Data Science disciplines, such as spatial statistics, remote sensing, and geographic information systems (GIS), has given rise to a shift in many schools, pushing the boundaries of knowledge and enabling new discoveries in geological processes and earth systems. Spatial analysis of geological data can...
Chapman and Hall/CRC, 2017. — 334 p. — ISBN: 978-1138627826. Since their introduction, hierarchical generalized linear models (HGLMs) have proven useful in various fields by allowing random effects in regression models. Interest in the topic has grown, and various practical analytical tools have been developed. This book summarizes developments within the field and, using data...
CRC Press, 2015. — 544 p. — (The R Series). — ISBN: 1482234815, 9781482234817 Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving illustrates the details involved in solving real computational problems encountered in data analysis. It reveals the dynamic and iterative process by which data analysts approach a problem and reason about...
Springer, 2014. — 685 p. — ISBN10: 1461478995, ISBN13: 978-1461478997. На англ. языке. Web technologies are increasingly relevant to scientists working with data, for both accessing data and creating rich dynamic and interactive displays. The XML and JSON data formats are widely used in Web services, regular Web pages and JavaScript code, and visualization formats such as SVG...
Independently published, 2024. — 138 р. — (Computer Programming). — ASIN: B0DF3VL19J. Unlock Your Data Science Potential with R Programming! Dive into “R Programming: Mastering Data Science and Statistical Computing” , the ultimate guide to one of the most powerful tools in the world of Data Science. Whether you're a complete beginner or an experienced professional looking to...
Independently published, 2024. — 138 р. — (Computer Programming). — ASIN: B0DF3VL19J. Unlock Your Data Science Potential with R Programming! Dive into “R Programming: Mastering Data Science and Statistical Computing” , the ultimate guide to one of the most powerful tools in the world of Data Science. Whether you're a complete beginner or an experienced professional looking to...
Independently published, 2024. — 138 р. — (Computer Programming). — ASIN: B0DF3VL19J. Unlock Your Data Science Potential with R Programming! Dive into “R Programming: Mastering Data Science and Statistical Computing” , the ultimate guide to one of the most powerful tools in the world of Data Science. Whether you're a complete beginner or an experienced professional looking to...
Independently published, 2024. — 138 р. — (Computer Programming). — ASIN: B0DF3VL19J. Unlock Your Data Science Potential with R Programming! Dive into “R Programming: Mastering Data Science and Statistical Computing” , the ultimate guide to one of the most powerful tools in the world of Data Science. Whether you're a complete beginner or an experienced professional looking to...
CRC Press, 2016. — 326 p. — (The R Series). — ISBN: 1482235226, 9781482235227
A How-To Guide for Conducting Common Fisheries-Related Analyses in R
Introductory Fisheries Analyses with R provides detailed instructions on performing basic fisheries stock assessment analyses in the R environment. Accessible to practicing fisheries scientists as well as advanced undergraduate and...
Wiley, 2012. — 347 p. — ISBN: 0470922257, 9780470922255 Provides the tools needed to successfully perform adaptive tests across a broad range of datasets. Adaptive Tests of Significance Using Permutations of Residuals with R and SAS illustrates the power of adaptive tests and showcases their ability to adjust the testing method to suit a particular set of data. The book...
Springer, 2014. — 267 p. 255 illus., 160 illus. in color. — ISBN: 1493917013, 9781493917020
R for Cloud Computing looks at some of the tasks performed by business analysts on the desktop (PC era) and helps the user navigate the wealth of information in R and its 4000 packages as well as transition the same analytics using the cloud. With this information the reader can select...
Oja H. Multivariate Nonparametric Methods with R: An Approach Based on Spatial Signs and Ranks Springer – 2010, 232 pages ISBN: 1441904670 This book introduces a new way to analyze multivariate data. The analysis of data based on multivariate spatial signs and ranks proceeds very much as does a traditional multivariate analysis relying on the assumption of multivariate...
Springer, 2024. — 324 p. — ISBN-13: 978-9819733842. This book is written for statisticians, data analysts, programmers, researchers, professionals, and general consumers on how to perform different types of statistical data analysis for research purposes using R object-oriented programming language and RStudio integrated development environment (IDE). R is an open-source...
Springer, 2024. — 324 p. — ISBN-13: 978-9819733842. This book is written for statisticians, data analysts, programmers, researchers, professionals, and general consumers on how to perform different types of statistical data analysis for research purposes using R object-oriented programming language and RStudio integrated development environment (IDE). R is an open-source...
Amazon Digital Services LLC, 2018. — 276 р. The Data Science field is expected to continue growing rapidly over the next several years and Data Scientist is consistently rated as a top career.Data Science with R gives you the necessery theoretical background to start your Data Science journey and shows you how to apply the R programming language through practical examples in...
Amazon Digital Services LLC, 2018. — 276 р. The Data Science field is expected to continue growing rapidly over the next several years and Data Scientist is consistently rated as a top career.Data Science with R gives you the necessery theoretical background to start your Data Science journey and shows you how to apply the R programming language through practical examples in...
2nd ed. — CRC Press, 2021. — 355 p. — ISBN 9780367860851. In the five years since the publication of the first edition of Spatial Analysis: Statistics, Visualization, and Computational Methods, many new developments have taken shape regarding the implementation of new tools and methods for spatial analysis with R. The use and growth of artificial intelligence, machine learning...
Apress – 2012, 336 pages ISBN: 1430245549, 9781430245544 Beginning R: An Introduction to Statistical Programming is a hands-on book showing how to use the R language, write and save R scripts, build and import data files, and write your own custom statistical functions. R is a powerful open-source implementation of the statistical language S, which was developed by AT&T. R has...
Apress, 2014. — 264 p. — ISBN: 1484201310, 9781484201312 R Recipes is your handy problem-solution reference for learning and using the popular R programming language for statistics and other numerical analysis. Packed with hundreds of code and visual recipes, this book helps you to quickly learn the fundamentals and explore the frontiers of programming, analyzing and using R. R...
New York: Packt Publishing, 2015. — 265 p. Work with over 40 packages to draw inferences from complex datasets and find hidden patterns in raw unstructured data. About This Book : Unlock and discover how to tackle clusters of raw data through practical examples in R. Explore your data and create your own models from scratch. Analyze the main aspects of unsupervised learning with...
New York: Packt Publishing, 2015. — 265 p. Work with over 40 packages to draw inferences from complex datasets and find hidden patterns in raw unstructured data. About This Book Unlock and discover how to tackle clusters of raw data through practical examples in R. Explore your data and create your own models from scratch. Analyze the main aspects of unsupervised learning with...
CRC Press, 2014. — 272 p. — ISBN: 1482205475
Multiple factor analysis (MFA) enables users to analyze tables of individuals and variables in which the variables are structured into quantitative, qualitative, or mixed groups. Written by the co-developer of this methodology, Multiple Factor Analysis by Example Using R brings together the theoretical and methodological aspects of...
Springer, 2021. — 357 p. — (Use R!). — ISBN 978-3-030-67310-9. This book covers applications of R to the general discipline of radiation dosimetry and to the specific areas of luminescence dosimetry, luminescence dating, and radiation protection dosimetry. It features more than 90 detailed worked examples of R code fully integrated into the text, with extensive annotations. The...
Springer, 2021. — 357 p. — (Use R!). — ISBN 978-3-030-67310-9. This book covers applications of R to the general discipline of radiation dosimetry and to the specific areas of luminescence dosimetry, luminescence dating, and radiation protection dosimetry. It features more than 90 detailed worked examples of R code fully integrated into the text, with extensive annotations. The...
Rawalpindi, Pakistan, 2019. — 384 p. — ISBN: N\A. This book will help the students to learn and utilize some basic concepts of statistics while utilizing R 3.6.1.
Amazon.com Services LLC, 2020. — 248 p. This book is a try to make statistics easy-to-understand along with basic instructions in R Programming Language. The statistics-related topics can be found in the table of contents. It has lower price as compared to "Colorful Statistics with Basic Steps in R (Programming Language)", but almost similar information as that book. This book...
Emmanuel Paradis, 2002. – 58 p. – ISBN: N/A The goal of the present document is to give a starting point for people newly interested in R. I chose to emphasize on the understanding of how R works, with the aim of a current rather than expert use. Given that the possibilities offered by R are vast, it is useful to a beginner to get some notions and concepts in order to progress...
N.Y.: Springer, 2015. — 172 p. We live in the age of data. In the last few years, the methodology of extracting insights from data or "data science" has emerged as a discipline in its own right. The R programming language has become one-stop solution for all types of data analysis. The growing popularity of R is due its statistical roots and a vast open source package library. The...
N.Y.: Springer, 2015. — 172 p. We live in the age of data. In the last few years, the methodology of extracting insights from data or "data science" has emerged as a discipline in its own right. The R programming language has become one-stop solution for all types of data analysis. The growing popularity of R is due its statistical roots and a vast open source package library. The...
Packt Publishing, 2020. — 317 p. — ISBN: 978-1-78899-683-9. Explore and implement deep learning to solve various real-world problems using modern R libraries such as TensorFlow, MXNet, H2O, and Deepnet Deep learning enables efficient and accurate learning from a massive amount of data. This book will help you overcome a number of challenges using various deep learning...
Packt Publishing, 2020. — 317 p. — ISBN: 978-1-78899-683-9. Explore and implement deep learning to solve various real-world problems using modern R libraries such as TensorFlow, MXNet, H2O, and Deepnet Deep learning enables efficient and accurate learning from a massive amount of data. This book will help you overcome a number of challenges using various deep learning...
Packt Publishing, 2020. — 317 p. — ISBN: 978-1-78899-683-9. Explore and implement deep learning to solve various real-world problems using modern R libraries such as TensorFlow, MXNet, H2O, and Deepnet Deep learning enables efficient and accurate learning from a massive amount of data. This book will help you overcome a number of challenges using various deep learning...
Packt Publishing, 2020. — 317 p. — ISBN: 978-1-78899-683-9. Code files only! Explore and implement deep learning to solve various real-world problems using modern R libraries such as TensorFlow, MXNet, H2O, and Deepnet Deep learning enables efficient and accurate learning from a massive amount of data. This book will help you overcome a number of challenges using various deep...
Chapman and Hall/CRC, 2018. — 600 c. — ISBN: 1138480606, 9781138480605, 9780429847035. Exploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA) and introduces the range of "interesting" – good, bad, and ugly – features that can be found in data, and why it is important to find them. It also introduces the mechanics of using R...
Biemingham: Packt Publishing, 2023. — 515 p. — ISBN 180324030X. Learn the fundamentals of statistics and machine learning using R libraries for data processing, visualization, model training, and statistical inference. Key Features Advance your ML career with the help of detailed explanations, intuitive illustrations, and code examples. Gain practical insights into the...
N.-Y.: Leanpub, 2015. - 125p. This book covers some of the basics of visualizing data in R and summarizing highdimensional data with statistical multivariate analysis techniques. There is less of an emphasis on formal statistical inference methods, as inference is typically not the focus of EDA. Rather, the goal is to show the data, summarize the evidence and identify...
New York: Leanpub, 2018. — 182 p. Data science has taken the world by storm. Every field of study and area of business has been affected as people increasingly realize the value of the incredible quantities of data being generated. But to extract value from those data, one needs to be trained in the proper data science skills. The R programming language has become the de facto...
N.-Y.: Leanpub, 2015. - 132p. This book brings the fundamentals of R programming to you, using the same material developed as part of the industry-leading Johns Hopkins Data Science Specialization. The skills taught in this book will lay the foundation for you to begin your journey learning data science. History and Overview of R What is R? What is S? The S Philosophy Back to R...
Lean Publishing, 2015. — 30 p. — ISBN: N/A
This book teaches the fundamental concepts and tools behind reporting modern data analyses in a reproducible manner. As data analyses become increasingly complex, the need for clear and reproducible report writing is greater than ever. The material for this book was developed as part of the industry-leading Johns Hopkins Data Science...
Springer, 2008. — 150 p. — ISBN 0387781668 Advances in statistical methodology and computing have played an important role in allowing researchers to more accurately assess the health effects of ambient air pollution. The methods and software developed in this area are applicable to a wide array of problems in environmental epidemiology. This book provides an overview of the...
New York: Leanpub, 2017. — 468 p. This book covers R software development for building data science tools. This book provides rigorous training in the R language and covers modern software development practices for building tools that are highly reusable, modular, and suitable for use in a team-based environment or a community of developers. The R Programming Environment...
New York: Leanpub, 2017. — 468 p. This book covers R software development for building data science tools. This book provides rigorous training in the R language and covers modern software development practices for building tools that are highly reusable, modular, and suitable for use in a team-based environment or a community of developers. The R Programming Environment...
Leanpub, 2022. — 106 p. The journey from statistical model to useful output has many steps, most of which are taught in other books and courses. The purpose of this book is to focus on one particular aspect of this journey: the development and implementation of statistical algorithms. It's often nice to think about statistical models and various inferential philosophies and...
Leanpub, 2020. — 210 p. This book covers the essential exploratory techniques for summarizing data with R. These techniques are typically applied before formal modeling commences and can help inform the development of more complex statistical models. Exploratory techniques are also important for eliminating or sharpening potential hypotheses about the world that can be...
Leanpub, 2022. — 180 p. Data science has taken the world by storm. Every field of study and area of business has been affected as people increasingly realize the value of the incredible quantities of data being generated. But to extract value from those data, one needs to be trained in the proper data science skills. The R programming language has become the de facto...
Leanpub, 2016. — 262 p. This book brings the fundamentals of R programming to you, using the same material developed as part of the industry-leading Johns Hopkins Data Science Specialization. The skills taught in this book will lay the foundation for you to begin your journey learning data science. See the packages below to obtain datasets, R code files, and video lectures.
N.Y.: Leanpub, 2015. — 132 p. Data science has taken the world by storm. Every field of study and area of business has been affected as people increasingly realize the value of the incredible quantities of data being generated. But to extract value from those data, one needs to be trained in the proper data science skills. The R programming language has become the de facto...
Leanpub, 2016. — 143 p.
This book teaches the fundamental concepts and tools behind reporting modern data analyses in a reproducible manner. As data analyses become increasingly complex, the need for clear and reproducible report writing is greater than ever. The material for this book was developed as part of the industry-leading Johns Hopkins Data Science Specialization.
Foster School of Business, University of Washington, 2011. – 29 p. – ISBN: N/A This tutorial examines three factor models: the Fama-French factor model, a BARRA-type industry factor model and a PCA factor model. I discuss the mathematical aspects of each model and provide an R implementation, which I then use to construct minimum-variance weighted portfolios for each model. The...
Amazon Digital Service, 2017. — 562 p. — ASIN B071DTSCPS. +Code Files. This book introduces the reader to the use of R and RStudio as a platform for processing and analyzing financial data. The book covers all necessary knowledge for using R, from its installation in your computer to the organization and development of scripts. For every chapter, the book presents practical and...
Amazon Digital Service, 2017. — 562 p. — ASIN B071DTSCPS. This book introduces the reader to the use of R and RStudio as a platform for processing and analyzing financial data. The book covers all necessary knowledge for using R, from its installation in your computer to the organization and development of scripts. For every chapter, the book presents practical and replicable...
Oxford: Oxford University Press, 2021. — 314 p. Experiments, surveys, measurements, and observations all generate data. These data can provide useful insights for solving problems, guiding decisions, and formulating strategy. Progressing from relatively unprocessed data to insight, and doing so efficiently, reliably, and confidently, does not come easily, and yet gaining...
Springer Pub., 2018. — 573 p. — ISBN: 978-1-4419-0118-7. This textbook presents an introduction to multiple linear regression, providing real-world data sets and practice problems. A practical working knowledge of applied statistical practice is developed through the use of these data sets and numerous case studies. The authors include a set of practice problems both at the end...
Springer, 2009. — 258 p. — ISBN 978-0-387-77237-0 State space models have gained tremendous popularity in recent years in as disparate fields as engineering, economics, genetics and ecology. After a detailed introduction to general state space models, this book focuses on dynamic linear models, emphasizing their Bayesian analysis. Whenever possible it is shown how to compute...
Oxford: Oxford University Press, 2013. — XIV, 183 p. — ISBN: 978–0–19–967113–7. Circular Statistics in R provides the most comprehensive guide to the analysis of circular data in over a decade. Circular data arise in many scientific contexts whether it be angular directions such as: observed compass directions of departure of radio-collared migratory birds from a release point;...
2nd ed. — Springer, 2008. — 189 p. ISBN: 0387759662. Analysis of Integrated and Cointegrated Time Series with R (2nd Edition) by Bernhard Pfaff offers a rigorous introduction to unit roots and cointegration, along with numerous examples in R to illustrate the various methods. The book, now in its second edition, provides an overview of this active area of research in time...
The structure of the package vars and its implementation of vector autoregressive, structural vector autoregressive and structural vector error correction models are explained in this paper. In addition to the three cornerstone functions VAR(), SVAR() and SVEC() for estimating such models, functions for diagnostic testing, estimation of a restricted models, prediction, causality...
New York: Chapman and Hall/CRC, 2019. — 330 p. R for College Mathematics and Statistics encourages the use of R in mathematics and statistics courses. Instructors are no longer limited to ``nice'' functions in calculus classes. They can require reports and homework with graphs. They can do simulations and experiments. R can be useful for student projects, for creating graphics...
GeoSpatial, 2018. — 246 p. — ASIN B07HM7LC41. Today, data science is an indispensable tool for any organization, allowing for the analysis and optimization of decisions and strategy. R has become the preferred software for data science, thanks to its open source nature, simplicity, applicability to data analysis, and the abundance of libraries for any type of algorithm. This book...
GeoSpatial, 2018. — 246 p. — ASIN B07HM7LC41. Today, data science is an indispensable tool for any organization, allowing for the analysis and optimization of decisions and strategy. R has become the preferred software for data science, thanks to its open source nature, simplicity, applicability to data analysis, and the abundance of libraries for any type of algorithm. This book...
GeoSpatial, 2018. — 246 p. — ASIN B07HM7LC41. Today, data science is an indispensable tool for any organization, allowing for the analysis and optimization of decisions and strategy. R has become the preferred software for data science, thanks to its open source nature, simplicity, applicability to data analysis, and the abundance of libraries for any type of algorithm. This book...
538 pages This book provides an overview of the theory and application of linear and nonlinear mixed-effects models in the analysis of grouped data, such as longitudinal data, repeated measures, and multilevel data. Over 170 figures are included in the book. Linear Mixed-Effects Theory and Computational Methods for LME Models Structure of Grouped Data Fitting LME Models...
2nd ed. — CRC Press, 2019. — 685 p. — ISBN: 9780815392750. Spatial Data Analysis in Ecology and Agriculture Using R, 2nd Edition provides practical instruction on the use of the R programming language to analyze spatial data arising from research in ecology, agriculture, and environmental science. Readers have praised the book's practical coverage of spatial statistics,...
Valentina Porcu, 2017. — 279 p. This book is meant to be an introduction to advanced data manipulation in R. The first chapter will deal with R structures, vectors, matrixes, lists, and dataframes. We will explain how to design objects in R and how to use R main functions, such as rearranging a vector or adding columnsto a matrix. The second chapter will cover several topics. We...
Valentina Porcu, 2017. — 279 p. This book is meant to be an introduction to advanced data manipulation in R. The first chapter will deal with R structures, vectors, matrixes, lists, and dataframes. We will explain how to design objects in R and how to use R main functions, such as rearranging a vector or adding columnsto a matrix. The second chapter will cover several topics. We...
Amazon Digital Services LLC, 2017. — 282 p. — ASIN B0737Z264F. When it comes to data analysis, data science and data mining, R is one of the most important and used programming languages. This book is meant as an introduction to R and is thought to be a quick reference guide for those who want to start programming in this language. The topics we will deal with are: - R structures,...
Amazon Digital Services LLC, 2017. — 251 p. — ASIN B0737Z264F. When it comes to data analysis, data science and data mining, R is one of the most important and used programming languages. This book is meant as an introduction to R and is thought to be a quick reference guide for those who want to start programming in this language. The topics we will deal with are: - R structures,...
Amazon Digital Services LLC, 2017. — 223 p. — ASIN B0737Z264F. When it comes to data analysis, data science and data mining, R is one of the most important and used programming languages. This book is meant as an introduction to R and is thought to be a quick reference guide for those who want to start programming in this language. The topics we will deal with are: - R structures,...
Springer, 2022. — 866 p. This book provides a practical introduction to mathematics for economics using R software. Using R as a basis, this book guides the reader through foundational topics in linear algebra, calculus, and optimization. The book is organized in order of increasing difficulty, beginning with a rudimentary introduction to R and progressing through exercises...
Springer, 2020. — 109 p. This book explains the best practices of the UNCTAD & WTO for trade analysis to the R users community. It shows how to replicate the UNCTAD & WTO's Stata codes in the Practical Guide to Trade Policy Analysis by using R. Applications and exercises are chosen from the Practical Guide to Trade Policy Analysis and explain how to implement the codes in R. This...
2nd Edition. — Springer, 2023. — 172 p. — ISBN 978-3-031-35043-6. This book explains the best practices of the UNCTAD & WTO for trade analysis to the R users community. It shows how to replicate the UNCTAD & WTO's Stata codes in the Practical Guide to Trade Policy Analysis by using R. Applications and exercises are chosen from the Practical Guide to Trade Policy Analysis and...
2nd Edition. — Springer, 2023. — 172 p. — ISBN 978-3-031-35044-3. This book explains the best practices of the UNCTAD & WTO for trade analysis to the R users community. It shows how to replicate the UNCTAD & WTO's Stata codes in the Practical Guide to Trade Policy Analysis by using R. Applications and exercises are chosen from the Practical Guide to Trade Policy Analysis and...
2nd Edition. — Springer, 2023. — 172 p. — ISBN 978-3-031-35044-3. This book explains the best practices of the UNCTAD & WTO for trade analysis to the R users community. It shows how to replicate the UNCTAD & WTO's Stata codes in the Practical Guide to Trade Policy Analysis by using R. Applications and exercises are chosen from the Practical Guide to Trade Policy Analysis and...
2nd Edition. — Springer, 2023. — 172 p. — ISBN 978-3-031-35044-3. This book explains the best practices of the UNCTAD & WTO for trade analysis to the R users community. It shows how to replicate the UNCTAD & WTO's Stata codes in the Practical Guide to Trade Policy Analysis by using R. Applications and exercises are chosen from the Practical Guide to Trade Policy Analysis and...
Syncfusion Inc., 2014. — 128 p.
Begin developing your mastery of the powerful R programming language. Become comfortable with the R environment and learn how to find ways for R to fulfill your data needs. With author Barton Poulson as your guide, you will soon be making use of this flexible, unparalleled tool.
Topics included:
- Getting Started with R
- Charts for One...
Packt Publishing, 2013. — 238 p. — ISBN: 178216328X, 9781782163282
Big data analytics is the process of examining large amounts of data of a variety of types to uncover hidden patterns, unknown correlations, and other useful information. Such information can provide competitive advantages over rival organizations and result in business benefits, such as more effective marketing...
Packt Publishing, 2016. — 266 p. — ISBN: 978-1-78646-515-3. In this book, we cover not only classical data structures, but also functional data structures. We begin by answering the fundamental question: why data structures? We then move on to cover the relationship between data structures and algorithms, followed by an analysis and evaluation of algorithms. We introduce the...
Packt Publishing, 2016. — 278 p. — ISBN: 978-1-78646-515-3. In this book, we cover not only classical data structures, but also functional data structures. We begin by answering the fundamental question: why data structures? We then move on to cover the relationship between data structures and algorithms, followed by an analysis and evaluation of algorithms. We introduce the...
Packt Publishing, 2016. — 278 p. — ISBN: 978-1-78646-515-3. In this book, we cover not only classical data structures, but also functional data structures. We begin by answering the fundamental question: why data structures? We then move on to cover the relationship between data structures and algorithms, followed by an analysis and evaluation of algorithms. We introduce the...
Packt Publishing, 2016. — 278 p. — ISBN: 978-1-78646-515-3. In this book, we cover not only classical data structures, but also functional data structures. We begin by answering the fundamental question: why data structures? We then move on to cover the relationship between data structures and algorithms, followed by an analysis and evaluation of algorithms. We introduce the...
2nd ed. — American Mathematical Society, 2018. — 842 p. — ISBN 9781470428488. In overall structure, the second edition has changed very little from the first. It still aims to provide an introduction to the foundations and applications of statistics to upper-level undergraduate students. The general approach remains “probability for statistics” rather than “probability, then...
Springer, 2013. — 178 p. 76 illus — ISBN: 364232083X, 9783642320842 The book presents the application of statistical methods to climatological data on temperature and precipitation. It provides specific techniques for treating series of yearly, monthly and daily records. The results’ potential relevance in the climate context is discussed. The methodical tools are taken from...
Ginnoha Publishing, Miyazaki Yousuke, Fujisaki Ryousuke, Kashiwagi Kaito. — Independent publication, 2024. — 233 р. — ASIN: B0D9D9LLP1. This comprehensive guide offers 100 practical techniques for writing clean, readable, and maintainable R code. Learn how to leverage the power of the tidyverse ecosystem and master the art of data manipulation using the pipe operator %%....
Ginnoha Publishing, Miyazaki Yousuke, Fujisaki Ryousuke, Kashiwagi Kaito. — Independent publication, 2024. — 233 р. — ASIN: B0D9D9LLP1. This comprehensive guide offers 100 practical techniques for writing clean, readable, and maintainable R code. Learn how to leverage the power of the tidyverse ecosystem and master the art of data manipulation using the pipe operator %%....
Ginnoha Publishing, Miyazaki Yousuke, Fujisaki Ryousuke, Kashiwagi Kaito. — Independent publication, 2024. — 233 р. — ASIN: B0D9D9LLP1. This comprehensive guide offers 100 practical techniques for writing clean, readable, and maintainable R code. Learn how to leverage the power of the tidyverse ecosystem and master the art of data manipulation using the pipe operator %%....
CRC Press, 2015. — 315 p. — ISBN: 1466503963, 9781466503960 Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying open-source software, how advanced analytical tools can address various business problems. It also gives insight into some of the challenges faced when deploying these tools....
CRC Press, 2013. — 516 p. — ISBN: 1439847991, 9781439847992 A major tool for quality control and management, statistical process control (SPC) monitors sequential processes, such as production lines and Internet traffic, to ensure that they work stably and satisfactorily. Along with covering traditional methods, Introduction to Statistical Process Control describes many recent...
Oxford: Oxford University Press, 2019. — 364 p. Statistical analysis is common in the social sciences, and among the more popular programs is R. This text provides a foundation for undergraduate and graduate students in the social sciences on how to use R to manage, visualise, and analyse data. The focus is on how to address substantive questions with data analysis and...
This tutorial offers a first introduction into R, which is an improved and freeware version of S. For most tasks, the freeware R and its commercial cousin S-Plus work in the same way and produce similar results. Most of the ideas in this tutorial apply to both R and S-Plus, although this document focuses on R in the interest of clarity.R is available as freeware from...
Packt Publishing, 2010. — 300 p. — ISBN 1849512086. This guide uses an inventive role-playing approach to teaching the most effective data analysis techniques using R. Entertaining and involving, it comes with examples, screenshots, and code for fast learning. An easy introduction for people who are new to R, with plenty of strong examples for you to work through This book will...
CABI, 2021. — 438 p. — ISBN 9781789245356, 9781789245363, 9781789245349. R is a freely available, open-source statistical programming environment which provides powerful statistical analysis tools and graphics outputs. R is now used by a very wide range of people; biologists (the primary audience of this book), but also all other scientists and engineers, economists, market...
GoalKicker.com, 2018. — 474 p. The R Notes for Professionals book is compiled from Stack Overflow Documentation, the content is written by the beautiful people at Stack Overflow. Text content is released under Creative Commons BY-SA. See credits at the end of this book whom contributed to the various chapters. Images may be copyright of their respective owners unless otherwise...
Автор неизвестен. Выходные данные - TutorialsPoint. This tutorial is designed for software programmers, statisticians and data miners who are looking forward for developing statistical software using R programming. If you are trying to understand the R programming language as a beginner, this tutorial will give you enough understanding on almost all the concepts of the language...
Springer, 2017. — 390 p. — ISBN: 978-3-319-49750-1 This book introduces readers to the fundamentals of creating presentation graphics using R, based on 100 detailed and complete scripts. It shows how bar and column charts, population pyramids, Lorenz curves, box plots, scatter plots, time series, radial polygons, Gantt charts, heat maps, bump charts, mosaic and balloon charts,...
2nd Edition. — Springer, 2019. — 461 p. — ISBN: 978-3-030-28443-5 This book introduces readers to the fundamentals of creating presentation graphics using R, based on 111 detailed and complete scripts. It shows how bar and column charts, population pyramids, Lorenz curves, box plots, scatter plots, time series, radial polygons, Gantt charts, heat maps, bump charts, mosaic and...
Springer-Verlag Berlin Heidelberg, 2011. — 164 p. — (Springer-Lehrbuch). — ISBN: 3642194834, 9783642194832 German. MS Excel ist das am häufigsten eingesetzte Tabellenkalkulationsprogramm zur Datenverarbeitung in Tabellenform. Für statistische Analysen ist Excel allerdings weniger geeignet. Seit 2009 gibt es jedoch „RExcel“ als Add-In, mit dem die Statistiksoftware R und deren...
Amazon.com Services LLC, 2019. — 93 p. — ASIN-B0834H9CSZ. This book offers the reader with basic concepts in R programming for time series forecasting. The tools covered are Simple Moving Average (SMA), Exponential Moving Average (EMA), HoltWinter’s model, Auto Regressive Integrated Moving Average (ARIMA), SARIMA (Seasonal ARIMA), and Dynamic Regression or ARIMAX. The residuals...
Birmingham, Packt Publishing, 2019, 503 p. Learn the ropes of supervised machine learning with R by studying popular real-world use-cases, and understand how it drives object detection in driver less cars, customer churn, and loan default prediction. Key Features Study supervised learning algorithms by using real-world datasets Fine tune optimal parameters with hyperparameter...
2nd Ed. — Apress, 2019. — 712 p. in color. — ISBN: 9781484242148, EISBN 9781484242155. Code files only! Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition shows you how to work with a machine-learning algorithm and use it to build a ML model from raw data. You will see how to use R programming...
2nd Ed. — Apress, 2019. — 712 p. in color. — ISBN: 9781484242148, EISBN 9781484242155. Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition shows you how to work with a machine-learning algorithm and use it to build a ML model from raw data. You will see how to use R programming with TensorFlow,...
Apress, 2017. — 580 p. — ISBN13: 978-1-4842-2333-8. True EPUB This book is inspired by the Machine Learning Model Building Process Flow, which provides the reader the ability to understand a ML algorithm and apply the entire process of building a ML model from the raw data. This new paradigm of teaching Machine Learning will bring about a radical change in perception for many...
Apress, 2017. — 580 p. — ISBN13: 978-1-4842-2333-8. This book is inspired by the Machine Learning Model Building Process Flow, which provides the reader the ability to understand a ML algorithm and apply the entire process of building a ML model from the raw data. This new paradigm of teaching Machine Learning will bring about a radical change in perception for many of those...
Springer, 2009. — 212 p. — ISBN 978-0-387-98184-0 This volume in the UseR! Series is aimed at a wide range of readers, and especially those who would like apply these techniques to their research problems. It complements Functional Data Analysis, Second Edition and Applied Functional Data Analysis: Methods and Case Studies by providing computer code in both the R and MatLAB...
Packt Publishing, 2017. — 266 p. — ISBN: 978-1-4842-2513-4. Learn the fundamental aspects of the business statistics, data mining, and machine learning techniques required to understand the huge amount of data generated by your organization. This book explains practical business analytics through examples, covers the steps involved in using it correctly, and shows you the...
CRC Press, 2011. — 340 p. — ISBN: 1439816972, 9781439816974 Experimental design is often overlooked in the literature of applied and mathematical statistics: statistics is taught and understood as merely a collection of methods for analyzing data. Consequently, experimenters seldom think about optimal design, including prerequisites such as the necessary sample size needed for...
Wiley, 2011. — 556 p. — ISBN: 047097124X, 9780470971246
Statistics in Psychology covers all statistical methods needed in education and research in psychology. This book looks at research questions when planning data sampling, that is to design the intended study and to calculate the sample sizes in advance. In other words, no analysis applies if the minimum size is not...
John Wiley & Sons, Inc., 2021. — 356 p. — ISBN: 978-93-90421-47-3. With widespread and exponential growth of data, people with data science background are in great demand. Data analytics, a subdomain of data science, is meant to turn data into insight and actionable knowledge. Data analytics mainly deals with exploring, visualizing, transforming and modelling data for making...
John Wiley & Sons, Inc., 2021. — 356 p. — ISBN: 978-93-90421-47-3. With widespread and exponential growth of data, people with data science background are in great demand. Data analytics, a subdomain of data science, is meant to turn data into insight and actionable knowledge. Data analytics mainly deals with exploring, visualizing, transforming and modelling data for making...
John Wiley & Sons, Inc., 2021. — 356 p. — ISBN: 978-93-90421-47-3. With widespread and exponential growth of data, people with data science background are in great demand. Data analytics, a subdomain of data science, is meant to turn data into insight and actionable knowledge. Data analytics mainly deals with exploring, visualizing, transforming and modelling data for making...
Packt Publishing, 2015. — 248 p. — ISBN: 1784396311, 9781784396312
With an increase in the number of users on the web, the content generated has increased substantially, bringing in the need to gain insights into the untapped gold mine that is social media data. For computational statistics, R has an advantage over other languages in providing readily-available data extraction...
2nd Edition. — John Wiley & Sons (Asia) Pte Ltd., 2009. — 290 p. — ISBN: 0470824425. In this fully revised and expanded edition of Smooth Tests of Goodness of Fit, the latest powerful techniques for assessing statistical and probabilistic models using this proven class of procedures are presented in a practical and easily accessible manner. Emphasis is placed on modern...
Reading data into a statistical system for analysis and exporting the results to some other system for report writing can be frustrating tasks that can take far more time than the statistical analysis itself, even though most readers will find the latter far more appealing.
This manual describes the import and export facilities available either in R itself or via packages which...
Packt Publishing, 2016. — 582 p. — ISBN: 978-1-78588-977-6. + Sample files. Key Features Explore the R language from basic types and data structures to advanced topics Learn how to tackle programming problems and explore both functional and object-oriented programming techniques Learn how to address the core problems of programming in R and leverage the most popular packages...
Packt Publishing, 2016. — 582 p. — ISBN: 978-1-78588-977-6. + Sample files. Key Features Explore the R language from basic types and data structures to advanced topics Learn how to tackle programming problems and explore both functional and object-oriented programming techniques Learn how to address the core problems of programming in R and leverage the most popular packages...
Packt Publishing, 2016. — 582 p. — ISBN: 978-1-78588-977-6. Become an efficient data scientist with R R is a high-level functional language and one of the must-know tools for data science and statistics. Powerful but complex, R can be challenging for beginners and those unfamiliar with its unique behaviors. Learning R Programming is the solution - an easy and practical way to...
Packt Publishing, 2016. — 582 p. — ISBN: 978-1-78588-977-6. — True PDF. R is a high-level functional language and one of the must-know tools for data science and statistics. Powerful but complex, R can be challenging for beginners and those unfamiliar with its unique behaviors. Learning R Programming is the solution - an easy and practical way to learn R and develop a broad and...
Packt Publishing Limited, 2015. — 246 p. — ISBN: 978-1785280900. Present interactive data visualizations in R within the Shiny frameworkConstruct web dashboards in a simple, intuitive, but fully flexible environmentApply your skills to create a real-world web application with this step-by-step guide Who This Book Is For If you are a data scientist who needs a platform to show...
Springer, 2008. — 148 p. — (Use R!). R is a rapidly evolving lingua franca of graphical display and statistical analysis of experiments from the applied sciences. Currently, R offers a wide range of functionality for nonlinear regression analysis, but the relevant functions, packages and documentation are scattered across the R environment. This book provides a coherent and...
CRC Press, 2020. — 227 p. — (The R Series). — ISBN: 1138034312, 9781138034310. Nowadays the term dose-response is used in many different contexts and many different scientific disciplines including agriculture, biochemistry, chemistry, environmental sciences, genetics, pharmacology, plant sciences, toxicology, and zoology. In the 1940 and 1950s, dose-response analysis was...
Chapman, 2012. — 273 p. — ISBN: 1439872864, 9781439872864 In longitudinal studies it is often of interest to investigate how a marker that is repeatedly measured in time is associated with a time to an event of interest, e.g., prostate cancer studies where longitudinal PSA level measurements are collected in conjunction with the time-to-recurrence. Joint Models for Longitudinal...
New York: Chapman & Hall/CRC, 2007. - 412p.
This book is an introduction to statistical computing and computational statistics. Computational statistics is a rapidly expanding area in statistical research and applications. It includes computationally intensive methods in statistics, such as Monte Carlo methods, bootstrap, MCMC, density estimation, nonparametric regression,...
Springer, 2010. — 284+87 p. — ISBN 978-1-4419-1575-7 Computational techniques based on simulation have now become an essential part of the statistician's toolbox. It is thus crucial to provide statisticians with a practical understanding of those methods, and there is no better way to develop intuition and skills for simulation than to use simulation to solve statistical...
Springer – 2011, 272 pages
ISBN: 2817801806, 9782817801803
Les techniques informatiques de simulation sont essentielles au statisticien. Afin que celui-ci puisse les utiliser en vue de résoudre des problèmes statistiques, il lui faut au préalable développer son intuition et sa capacité à produire lui-même des modèles de simulation. Ce livre adopte donc le point de vue du...
Springer, 2010. — 354 p. — ISBN 1441977619. Forest Analytics with R combines practical, down-to-earth forestry data analysis and solutions to real forest management challenges with state-of-the-art statistical and data-handling functionality. The authors adopt a problem-driven approach, in which statistical and mathematical tools are introduced in the context of the forestry...
Wiley, 2018. — 240 p. — ISBN: 1119302609. Covering both random and strategic games, Probability, Decisions and Games features a variety of gaming and gambling examples to build a better understanding of basic concepts of probability, statistics, decision theory, and game theory. The authors present fundamental concepts such as random variables, rational choice theory,...
Wiley, 2018. — 240 p. — ISBN: 1119302609. Introduces the fundamentals of probability, statistics, decision theory, and game theory, and features interesting examples of games of chance and strategy to motivate and illustrate abstract mathematical concepts. Covering both random and strategic games, Probability, Decisions and Games features a variety of gaming and gambling...
Functional integration in the brain refers to distributed interactions among functionally segregated regions. Investigation of effective connectivity in brain networks, i.e, the directed causal influence that one brain region exerts over another region, is being increasingly recognized as an important tool for understanding brain function in neuroimaging studies. Methods for...
CRC Press, 2020. — 365 p. — ISBN: 9780367439149, EISBN 9781003006695. Just Enough R! An Interactive Approach to Machine Learning and Analytics presents just enough of the R language, machine learning algorithms, statistical methodology, and analytics for the reader to learn how to find interesting structure in data. The approach might be called "seeing then doing" as it first...
CRC Press, 2020. — 365 p. — ISBN: 978-1-003-00669-5 (ebk). Just Enough R! An Interactive Approach to Machine Learning and Analytics presents just enough of the R language, machine learning algorithms, statistical methodology, and analytics for the reader to learn how to find interesting structure in data. The approach might be called “seeing then doing” as it first gives...
CRC Press, 2020. — 365 p. — ISBN: 978-1-003-00669-5 (ebk). Just Enough R! An Interactive Approach to Machine Learning and Analytics presents just enough of the R language, machine learning algorithms, statistical methodology, and analytics for the reader to learn how to find interesting structure in data. The approach might be called “seeing then doing” as it first gives...
CRC Press, 2020. — 365 p. — ISBN: 978-1-003-00669-5 (ebk). Just Enough R! An Interactive Approach to Machine Learning and Analytics presents just enough of the R language, machine learning algorithms, statistical methodology, and analytics for the reader to learn how to find interesting structure in data. The approach might be called “seeing then doing” as it first gives...
CRC Press, 2020. — 365 p. — ISBN: 978-0-367-43914-9. Just Enough R! An Interactive Approach to Machine Learning and Analytics presents just enough of the R language, machine learning algorithms, statistical methodology, and analytics for the reader to learn how to find interesting structure in data. The approach might be called “seeing then doing” as it first gives step-by-step...
Singapore: World Scientific Publishing Company, 2024. - 302 p. - ISBN 9811297479. Cluster analysis is a fundamental data analysis task that aims to group similar data points together, revealing the inherent structure and patterns within complex datasets. This book serves as a comprehensive and accessible guide, taking readers on a captivating journey through the foundational...
UNAM, 2016. — 446 p. — ISBN: En trámite. En este libro de texto los usuarios encontraran una vía práctica para mejorar su comprensión de la econometría, al utilizar aplicaciones a su realidad social, emplear las fuentes de información disponibles en el país y disponer de un formato tecnológico en el que pueden aplicar los conocimientos adquiridos, poner en práctica propuestas...
Springer – 2009, 385 pages ISBN: 1441912126 The concepts of causal inference in experiments and observational studies are introduced using the elementary mathematics of independent coin flips to determine treatment assignment. The basic tools of multivariate matching – such as propensity scores, optimal matching, full matching, fine balance, risk set matching – are introduced...
University of Twente, 2012. — 141 p. R is an open-source environment for statistical computing and visualisation. It is based on the S language developed at Bell Laboratories in the 1980’s, and is the product of an active movement among statisticians for a powerful, programmable, portable, and open computing en- vironment, applicable to the most complex and sophsticated...
University of Twente, 2013. — 256 p. This tutorial introduces the R environment for statistical computing and visualisation and its dialect of the S language. It is organized as a systematic analysis of a simple dataset: the Mercer & Hall wheat yield uniformity trial (Appendix A). After completing the tutorial you should: know the basics of the R environment; be able to use R...
O’Reilly Media, Inc., 2020. — 250 p. — ISBN: 9781492046363. If you’re like most R users, you have deep knowledge and love for statistics. But as your organization continues to collect huge amounts of data, adding tools such as Apache Spark makes a lot of sense. With this practical book, data scientists and professionals working with large-scale data applications will learn how...
Independently published, 2019. — 392 p. — ISBN: 978-1692035501 (paperback). R is a programming language developed is widely used for statistical and graphical analysis. It can execute advance machine learning algorithms including earning algorithm, linear regression, time series, statistical inference. R programming language is used by Fortune 500 companies and tech bellwethers...
Springer, 2010. — 638 p. — ISBN 1441977864. Financial engineers have access to enormous quantities of data but need powerful methods for extracting quantitative information, particularly about volatility and risks. Key features of this textbook are: illustration of concepts with financial markets and economic data, R Labs with real-data exercises, and integration of graphical and...
2nd ed. — Springer, 2015. — 735 p. — ISBN: 1493926136, 9781493926138
The new edition of this influential textbook, geared towards graduate or advanced undergraduate students, teaches the statistics necessary for financial engineering. In doing so, it illustrates concepts using financial markets and economic data, R Labs with real-data exercises, and graphical and analytic...
2nd Edition. — Springer Cham, 2024. — 555 p. — eBook ISBN 978-3-031-37865-2. Covers the most fundamental topics in probability and statistics, both theoretical and applied Includes a dedicated R package to learn, practise and use the theory A strong grasp of elementary statistics and probability, along with basic skills in using R, is essential for various scientific...
2nd Edition. — Springer Cham, 2024. — 555 p. — eBook ISBN 978-3-031-37865-2. Covers the most fundamental topics in probability and statistics, both theoretical and applied Includes a dedicated R package to learn, practise and use the theory A strong grasp of elementary statistics and probability, along with basic skills in using R, is essential for various scientific...
Chapman and Hall/CRC, 2022. — 420 p. — (Chapman & Hall/CRC Interdisciplinary Statistics). — ISBN 978-1-032-20957-9. Applied sciences, both physical and social, such as atmospheric, biological, climate, demographic, economic, ecological, environmental, oceanic and political, routinely gather large volumes of spatial and spatio-temporal data in order to make wide ranging...
SAGE Publications, 2020. — 537 p. — ISBN 9781544324579. Neil J. Salkind’s bestselling Statistics for People Who (Think They) Hate Statistics has been helping ease student anxiety around an often intimidating subject since it first published in 2000. Now the bestselling SPSS and Excel versions are joined by a text for use with the R software, Statistics for People Who (Think...
Omnia Publisher SL, 2015. — 108 p. — ISBN 8494422936, 9788494422935 Linear programming is one of the most extensively used techniques in the toolbox of quantitative methods of optimization. One of the reasons of the popularity of linear programming is that it allows to model a large variety of situations with a simple framework. Furthermore, a linear program is relatively easy...
Sage, 2021. — 424 p. — ISBN: 1544370458. Data Science for Business with R, written by Jeffrey S. Saltz and Jeffrey M. Stanton, focuses on the concepts foundational for students starting a business analytics or data science degree program. To keep the book practical and applied, the authors feature a running case using a global airline business’s customer survey dataset to...
CRC Press, 2013. — 495 p. — ISBN: 143986084X, 9781439860847 Samatova N.F., Hendrix W., Jenkins J., Padmanabhan K., Chakraborty A. (Eds.) Discover Novel and Insightful Knowledge from Data Represented as a Graph Practical Graph Mining with R presents a "do-it-yourself" approach to extracting interesting patterns from graph data. It covers many basic and advanced techniques for...
NIPA, 2020. — 124 p. This book will help its readers to learn the first step of R statistics as it will help its readers to sit before the computer and to enter the commands, Practice makes perfect and the best way to learn R is to work with it and ask questions when you don’t get the results. My aim in writing this short book is to enable an average student like me to graph...
Trowchez Editions. — Berkeley, 2014. — 113 p. This ebook aims to help you get started with manipulating strings in R. Although there are a few issues with R about string processing, some of us argue that R can be very well used for computing with character strings and text. R may not be as rich and diverse as other scripting languages when it comes to string manipulation, but...
Birmingham: Packt Publishing, 2023. — 384 p. — ISBN 1803235403. Take your data wrangling skills to the next level by gaining a deep understanding of tidyverse libraries and effectively prepare your data for impressive analysis Key Features Explore state-of-the-art libraries for data wrangling in R and learn to prepare your data for analysis. Find out how to work with different...
Springer, 2012. — 126 p. 55 illus., 28 illus. in color — ISBN: 1461454522, 9781461454533 Series: SpringerBriefs in Statistics, Vol. 14 The intensive use of automatic data acquisition system and the use of cloud computing for process monitoring have led to an increased occurrence of industrial processes that utilize statistical process control and capability analysis. These...
Springer, 2008. — 286 p. — ISBN 0387759689 R is rapidly growing in popularity as the environment of choice for data analysis and graphics both in academia and industry. Lattice brings the proven design of Trellis graphics (originally developed for S by William S. Cleveland and colleagues at Bell Labs) to R, considerably expanding its capabilities in the process. Lattice is a...
IGI Global, 2017. — 197 p. — ISBN: 9781683180166 The application of statistics has proliferated in recent years and has become increasingly relevant across numerous fields of study. With the advent of new technologies, its availability has opened into a wider range of users. Comparative Approaches to Using R and Python for Statistical Data Analysis is a comprehensive source of...
Boca Raton: CRC Press, 2009. - 251p. Basic data analysis R programming conventions Generation of random numbers and patterns Random numbers Patterns Case study: distribution diagnostics Distribution functions Histograms Barcharts Statistics of distribution functions; KolmogorovSmirnov tests Monte Carlo confidence bands Statistics of histograms and related plots; X2tests Moments...
Chapman and Hall/CRC, 1997. – 444 p. – ISBN: 0412040611, 9780412040610 The last two decades have seen enormous developments in statistical methods for incomplete data. The EM algorithm and its extensions, multiple imputation, and Markov Chain Monte Carlo provide a set of flexible and reliable tools from inference in large classes of missing-data problems. Yet, in practical...
Springer – 2005, 410 pages ISBN 0387210164 In recent years portfolio optimization and construction methodologies have become an increasingly critical ingredient of asset and fund management, while at the same time portfolio risk assessment has become an essential ingredient in risk management, and this trend will only accelerate in the coming years. Unfortunately there is a...
Hoboken: Wiley, 2014. - 439p.
Features a solid foundation of mathematical and computational tools to formulate and solve real-world ODE problems across various fields With a step-by-step approach to solving ordinary differential equations (ODEs), Differential Equation Analysis in Biomedical Science and Engineering: Ordinary Differential Equation Applications with R successfully...
Hoboken: Wiley, 2014. - 344p.
Features a solid foundation of mathematical and computational tools to formulate and solve real-world PDE problems across various fields With a step-by-step approach to solving partial differential equations (PDEs), Differential Equation Analysis in Biomedical Science and Engineering: Partial Differential Equation Applications with R successfully...
CRC Press, 2019. — 191 p. — ISBN: 9780415003087,0415003083,9780429275128,0429275129. Mathematical models stated as systems of partial differential equations (PDEs) are broadly used in biology, chemistry, physics and medicine (physiology). These models describe the spatial and temporial variations of the problem system dependent variables, such as temperature, chemical and...
Oldenbourg Wissenschaftsverlag, 2013. — 357 s. — ISBN10: 3486717014, ISBN13: 978-3486717013. На немецком языке. Das Buch vereinigt die zahlreichen Ansätze zur Erklärung einer Menge von Variablen mittels einer anderen Variablenmenge. Die Ansätze werden in ihren Grundstrukturen dargestellt. Die Beschränkung darauf ist notwendig, gibt es doch zu jeder der vorgestellten Methoden...
Journal of Statistical Software. August 2009, Volume 31, Issue
1. + 5 appendices.
R is a mature open-source programming language for statistical computing and graphics. Many areas of statistical research are experiencing rapid growth in the size of data sets. Methodological advances drive increased use of simulations. A common approach is to use parallel computing.
This paper...
John Wiley & Sons, 2023. — 690 p. — (For Dummies). A deep dive into the programming language of choice for statistics and data. With R All-in-One For Dummies , you get five mini-books in one, offering a complete and thorough resource on the R programming language and a road map for making sense of the sea of data we’re all swimming in. Maybe you’re pursuing a career in data...
John Wiley & Sons, 2023. — 690 p. — (For Dummies). A deep dive into the programming language of choice for statistics and data. With R All-in-One For Dummies , you get five mini-books in one, offering a complete and thorough resource on the R programming language and a road map for making sense of the sea of data we’re all swimming in. Maybe you’re pursuing a career in data...
Wiley-VCH, 2018. — 657 p. — ISBN: 3527715371, 9783527715374. Dieses Buch bietet einen einzigartigen Learning-by-Doing-Ansatz. Sie werden Ihre R-Fähigkeiten erweitern und vertiefen, indem Sie eine Vielzahl von Beispielprojekten aus der Praxis nachvollziehen. Erlernen Sie die Grundlagen von R und RStudio sowie Möglichkeiten der Datenreduktion, des Mapping und der...
Wiley, 2018. — 360 p. — (For Dummies). — ISBN: 978-1119446187. Make the most of R’s extensive toolset. R Projects For Dummies offers a unique learn-by-doing approach. You will increase the depth and breadth of your R skillset by completing a wide variety of projects. By using R’s graphics, interactive, and machine learning tools, you’ll learn to apply R’s extensive capabilities...
Wiley, 2018. — 360 p. — (For Dummies). — ISBN: 978-1119446187. Make the most of R’s extensive toolset. R Projects For Dummies offers a unique learn-by-doing approach. You will increase the depth and breadth of your R skillset by completing a wide variety of projects. By using R’s graphics, interactive, and machine learning tools, you’ll learn to apply R’s extensive capabilities...
John Wiley & Sons, 2024. - 193 p. - ISBN 1394263422. The easy way to get started coding and analyzing data in the R programming language. Statistical Analysis with R Essentials For Dummies is your reference to all the core concepts about R —the widely used, open-source programming language and data analysis tool. This no-nonsense book gets right to the point, eliminating review...
John Wiley & Sons, Inc., 2017. — 466 p. Understanding the world of R programming and analysis has never been easier Most guides to R, whether books or online, focus on R functions and procedures. But now, thanks to Statistical Analysis with R For Dummies, you have access to a trusted, easy-to-follow guide that focuses on the foundational statistical concepts that R addresses—as...
John Wiley & Sons, Inc., 2017. — 466 p. Understanding the world of R programming and analysis has never been easier Most guides to R, whether books or online, focus on R functions and procedures. But now, thanks to Statistical Analysis with R For Dummies, you have access to a trusted, easy-to-follow guide that focuses on the foundational statistical concepts that R addresses—as...
John Wiley & Sons, Inc., 2017. — 466 p. Understanding the world of R programming and analysis has never been easier Most guides to R, whether books or online, focus on R functions and procedures. But now, thanks to Statistical Analysis with R For Dummies, you have access to a trusted, easy-to-follow guide that focuses on the foundational statistical concepts that R addresses—as...
John Wiley & Sons, Inc, For Dummies, 2024. — 214 p. — ISBN 9781394263448. The easy way to get started coding and analyzing data in the R programming language. Statistical Analysis with R Essentials For Dummies is your reference to all the core concepts about R?the widely used, open-source programming language and data analysis tool. This no-nonsense book gets right to the...
John Wiley & Sons, Inc, For Dummies, 2024. — 214 p. — ISBN 9781394263448. The easy way to get started coding and analyzing data in the R programming language. Statistical Analysis with R Essentials For Dummies is your reference to all the core concepts about R?the widely used, open-source programming language and data analysis tool. This no-nonsense book gets right to the...
Springer, 2013. – 296 p. – ISBN: 1461462266, 9781461462279 This book was written to provide resource materials for teachers to use in their introductory or intermediate statistics class. The chapter content is ordered along the lines of many popular statistics books so it should be easy to supplement the content and exercises with class lecture materials. The book contains R...
Springer, 2013. – 295 p. – ISBN: 1461462266, 9781461462279 This book was written to provide resource materials for teachers to use in their introductory or intermediate statistics class. The chapter content is ordered along the lines of many popular statistics books so it should be easy to supplement the content and exercises with class lecture materials. The book contains R...
Psychology Press – 2001, 384 pages
ISBN: 0805836233, 9780805836233
Written as a supplemental text for an introductory or intermediate statistics course, this book is organized along the lines of many popular statistics texts. The chapters provide a good conceptual understanding of basic statistics and include exercises that use S-PLUS simulation programs. Each chapter lists a...
SAGE, 2015. — 408 p. — ISBN: 978-1483377964. Using R with Multivariate Statistics by Randall E. Schumacker is a quick guide to using R, free-access software available for Windows and Mac operating systems that allows users to customize statistical analysis. Designed to serve as a companion to a more comprehensive text on multivariate statistics, this book helps students and...
SAGE, 2015. — 408 p. — ISBN: 978-1483377964. Using R with Multivariate Statistics by Randall E. Schumacker is a quick guide to using R, free-access software available for Windows and Mac operating systems that allows users to customize statistical analysis. Designed to serve as a companion to a more comprehensive text on multivariate statistics, this book helps students and...
SAGE, 2015. — 408 p. — ISBN: 978-1483377964. Using R with Multivariate Statistics by Randall E. Schumacker is a quick guide to using R, free-access software available for Windows and Mac operating systems that allows users to customize statistical analysis. Designed to serve as a companion to a more comprehensive text on multivariate statistics, this book helps students and...
Springer, 2015. — 393 p. — ISBN: 3319214152, 9783319214153 This book provides a comprehensive introduction to performing meta-analysis using the statistical software R. It is intended for quantitative researchers and students in the medical and social sciences who wish to learn how to perform meta-analysis with R. As such, the book introduces the key concepts and models used in...
Springer, 2015. — 252 p. — ISBN: 9783319214153, 9783319214160
This book provides a comprehensive introduction to performing meta-analysis using the statistical software R. It is intended for quantitative researchers and students in the medical and social sciences who wish to learn how to perform meta-analysis with R. As such, the book introduces the key concepts and models used...
Scientific Books, 2016. — 319 p. — ASIN: B01HC1LE0Y R provides a wide range of statistical tools (models linear and non-linear , statistical tests , analysis of time series , algorithms of classification and clustering , etc.) and graphic. Like S-Plus, it's a programming language, allowing users to extend it by defining your own functions. In fact, most of the functions of R...
CreateSpace Independent Publishing Platform, 2016. — 278 p. — ISBN: 1534798161, 9781534798168 R is a language and programming environment for statistical analysis and graphic. It is a project of free software , a result of the implementation GNU classic scientific language S-plus. R and S-plus are probably the two languages most commonly used in research by community...
2nd Edition. — Wiley, 2015. — 384 p. — ISBN: 0471697559
Clarifies modern data analysis through nonparametric density estimation for a complete working knowledge of the theory and methods
Featuring a thoroughly revised presentation, Multivariate Density Estimation: Theory, Practice, and Visualization, Second Edition maintains an intuitive approach to the underlying...
This book is a manifestation of my desire to teach researchers in biology a bit more about statistics than an ordinary introductory course covers and to introduce the utilization of R as a tool for analyzing their data. My goal is to reach those with little or no training in higher level statistics so that they can do more of their own data analysis, communicate more with...
McGraw-Hill Education, 2018. — 580 p. — ISBN: 9789352605248. We are in very exciting times! Statistical computing and high-scale data analysis tasks need a new category of computer language other than the procedural and object-oriented programming languages. The main objective of this category of language is to support various types of statistical analysis and data analysis...
Oxford University Press – 1998, 461 pages ISBN: 0195120256, 9780195120257 Statistical analysis typically involves applying theoretically generated techniques to the description and interpretation of collected data. In this text, theory, application and interpretation are combined to present the entire biostatistical process for a series of elementary and intermediate analytic...
Springer, 2023. — 352 p. — Indian Statistical Institute Series. — ISBN 978-981-19-2007-3. This book prepares students to execute the quantitative and computational needs of the finance industry. The quantitative methods are explained in detail with examples from real financial problems like option pricing, risk management, portfolio selection, etc. Codes are provided in R...
Leanpub, 2024. — 187 p. For every exercise I did my best to connect the specific statistical concepts with R code, and every time I use linear algebra I connect it with a concrete R example. In this book you will not find something such as "this is left as an exercise to the reader". This book aims to get straight to the point, and the only thing I assume here is that you have...
Rmetrics Associa6on & Finance Online Publishing, 2014. — 234 p. — (R/Rmetrics eBook Series). — ISBN: 9783906041216. The eBook reprints several unpublished articles and reports from the Econophysics Group at ETH Zurich.The articles show how Bayesian stability concepts and related approaches can be used by investment managers to analyse their portfolio design and to improve...
Springer – 2012, 368 pages ISBN: 146141301X Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their implementation. The book explains basic statistical concepts with a simple yet rigorous language. The development of ideas is in the context of real applied problems, for which step-by-step instructions for...
Prospect Press, 2018. — 347 p. — ISBN: 1943153590, 9781943153596. This book covers both social network analysis and text analysis and mining. Presenting these methods together helps readers understand both the structure and content of social media conversations. The first part addresses the foundational concepts of social analytics and its potential for business. Next, readers...
Chapman and Hall, 2017. — 206p. — ISBN: 978-1498797320. "This would be an excellent book for undergraduate, graduate and beyond...The style of writing is easy to read and the author does a good job of adding humor in places. The integration of basic programming in R with the data that is collected for any experiment provides a powerful platform for analysis of data... having...
Chapman and Hall, 2017. — 206 p. — ISBN: 978-1498797320. "This would be an excellent book for undergraduate, graduate and beyond...The style of writing is easy to read and the author does a good job of adding humor in places. The integration of basic programming in R with the data that is collected for any experiment provides a powerful platform for analysis of data... having...
Chapman and Hall, 2017. — 206 p. — ISBN: 978-1498797320. "This would be an excellent book for undergraduate, graduate and beyond...The style of writing is easy to read and the author does a good job of adding humor in places. The integration of basic programming in R with the data that is collected for any experiment provides a powerful platform for analysis of data... having...
Springer, 2009. — 397 p. — (Springer Texts in Statistics). — ISBN: 9780387096087 A Modern Approach to Regression with R focuses on tools and techniques for building regression models using real-world data and assessing their validity. A key theme throughout the book is that it makes sense to base inferences or conclusions only on valid models. The regression output and plots...
No publisher, 2019. — 430 p. This book is written for those who want to learn how to analyze data. This challenge arises frequently when you need to determine a previously unknown fact. For example: does this new medicine have an effect on a patient’s symptoms? Or: Is there a difference between the public’s rating of two politicians? Or: how will the oil prices change in the...
Wiley, 2018. — 576 p. — ISBN: 978-1-118-87936-8. This book presents an applied approach to data mining concepts and methods, using R software for illustration Readers will learn how to implement a variety of popular data mining algorithms in R (a free and open-source software) to tackle business problems and opportunities. This is the fifth version of this successful text, and...
Wiley, 2018. — 576 p. — ISBN: 978-1-118-87936-8. This book presents an applied approach to data mining concepts and methods, using R software for illustration Readers will learn how to implement a variety of popular data mining algorithms in R (a free and open-source software) to tackle business problems and opportunities. This is the fifth version of this successful text, and...
4th Edition. — Springer International Publishing AG, 2017. — 567 p. — (Springer Texts in Statistics). — ISBN: 9783319524511. The fourth edition follows the general layout of the third edition but includes some modernization of topics as well as the coverage of additional topics. The preface to the third edition—which follows—still applies, so we concentrate on the differences...
3rd Edition. — Springer, 2011. — 609 p. — ISBN 978-1-4419-7864-6, e-ISBN 978-1-4419-7865-3. The goals of this book are to develop an appreciation for the richness and versatility of modern time series analysis as a tool for analyzing data, and still maintain a commitment to theoretical integrity, as exemplified by the seminal works of Brillinger (1975) and Hannan (1970) and the...
5th ed. — Springer, 2025. — 607 p. — (Springer Texts in Statistics). — ISBN 3031705831. This 5th. edition of this popular graduate textbook presents a balanced and comprehensive treatment of both time and frequency domain methods with accompanying theory. It includes numerous examples using nontrivial data illustrate solutions to problems such as discovering natural and...
Springer, 2007. — 336 p. — ISBN 978-0-387-49684-9 This book details the statistical concepts used in gene mapping, first in the experimental context of crosses of inbred lines and then in outbred populations, primarily humans. It presents elementary principles of probability and statistics, which are implemented by computational tools based on the R programming language to...
CRC Press, 2020. — 448 p. — ISBN: 13: 978-1-138-33145-7. The richly illustrated Interactive Web-Based Data Visualization with R, plotly, and shiny focuses on the process of programming interactive web graphics for multidimensional data analysis. It is written for the data analyst who wants to leverage the capabilities of interactive web graphics without having to learn web...
CRC Press, 2020. — 448 p. — ISBN: 13: 978-1-138-33145-7. The richly illustrated Interactive Web-Based Data Visualization with R, plotly, and shiny focuses on the process of programming interactive web graphics for multidimensional data analysis. It is written for the data analyst who wants to leverage the capabilities of interactive web graphics without having to learn web...
CRC Press, 2020. — 448 p. — ISBN: 13: 978-1-138-33145-7. The richly illustrated Interactive Web-Based Data Visualization with R, plotly, and shiny focuses on the process of programming interactive web graphics for multidimensional data analysis. It is written for the data analyst who wants to leverage the capabilities of interactive web graphics without having to learn web...
CRC Press, 2020. — 448 p. — ISBN: 13: 978-1-138-33145-7. The richly illustrated Interactive Web-Based Data Visualization with R, plotly, and shiny focuses on the process of programming interactive web graphics for multidimensional data analysis. It is written for the data analyst who wants to leverage the capabilities of interactive web graphics without having to learn web...
O’Reilly Media, 2017. — 194 p. — ISBN: 978-1491981658. Much of the data available today is unstructured and text-heavy, making it challenging for analysts to apply their usual data wrangling and visualization tools. With this practical book, you’ll explore text-mining techniques with tidytext, a package that authors Julia Silge and David Robinson developed using the tidy...
O’Reilly Media, 2017. — 194 p. — ISBN: 978-1491981658. True PDF Much of the data available today is unstructured and text-heavy, making it challenging for analysts to apply their usual data wrangling and visualization tools. With this practical book, you’ll explore text-mining techniques with tidytext, a package that authors Julia Silge and David Robinson developed using the...
O’Reilly Media, 2017. — 194 p. — ISBN: 978-1491981658. Much of the data available today is unstructured and text-heavy, making it challenging for analysts to apply their usual data wrangling and visualization tools. With this practical book, you’ll explore text-mining techniques with tidytext, a package that authors Julia Silge and David Robinson developed using the tidy...
R – 2006, 40 pages This is a very brief introduction to R via a series of examples which are relevant to actuarial work. These examples are aimed at R newbies so: only a small fraction of R’s capabilities are examined in these examples. there are many ways of achieving the same objective in R. These examples often only consider a single approach and for educational purposes may...
Palaeoecology is an important branch of ecology that uses the subfossil remains of organisms preserved in lake, ocean and bog sediments to inform on changes in ecosystems and the environment through time. The analogue package contains functions to perform modern analogue technique (MAT) transfer functions, which can be used to predict past changes in the environment, such as...
Packt Publishing Ltd., 2014. — 340 p. — ISBN: 9781783283132
Over 90 practical recipes for computational biologists to model and handle real-life data using R
Overview
Use the existing R-packages to handle biological data
Represent biological data with attractive visualizations
An easy-to-follow guide to handle real-life problems in Bioinformatics like Next Generation...
Wiley, 2022. — 416 p. — ISBN 978-1-119-60098-5. Explore the advantages and shortcomings of various forms of multiblock analysis, and the relationships between them, with this expert guide. Arising out of fusion problems that exist in a variety of fields in the natural and life sciences, the methods available to fuse multiple data sets have expanded dramatically in recent years....
Springer, 2012. — 265 p. — ISBN: 3642280692, 9783642280702, 9783642280696. This book deals with the numerical solution of differential equations, a very important branch of mathematics. The solution of differential equations using R is the main focus of this book. The aim is to give a practical and theoretical account of how to solve a large variety of differential equations,...
Springer, 2009. — 220 p. — (Lecture Notes in Statistics). — ISBN: 0387859551, 9780387859552
Permutation testing for multivariate stochastic ordering and ANOVA designs is a fundamental issue in many scientific fields such as medicine, biology, pharmaceutical studies, engineering, economics, psychology, and social sciences. This book presents new advanced methods and related R...
Springer, 2008. — 164 p. — (Use R!). — ISBN 0387747303. Since its inception, R has become one of the preeminent programs for statistical computing and data analysis. The ready availability of the program, along with a wide variety of packages and the supportive R community make R an excellent choice for almost any kind of computing task related to statistics. However, many users,...
Portions, 2013. – 183 p. – ISBN: N/A
This book is distributed under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 license. You are free to copy, distribute, and transmit this work. You are free to add or adapt the work. You must attribute the work to the author(s) listed above. You may not use this work or derivative works for commercial purposes. If you alter,...
The Guilford Press, New York, London, 2017. — 327 p. — ISBN: 9781462530267. Engaging and accessible, this book teaches readers how to use inferential statistical thinking to check their assumptions, assess evidence about their beliefs, and avoid overinterpreting results that may look more promising than they really are. It provides step-by-step guidance for using both classical...
Gabler |ISBN: 3834911518 | 276 pages | 2009 | Язык: Немецкий |
Dieses Übungsbuch wendet sich an Studierende der Wirtschafts- und Sozialwissenschaften, die sich gezielt und effizient auf Statistikklausuren im Bachelorstudiengang vorbereiten möchten. Die Übungsaufgaben beinhalten eine Vielzahl praxisnaher deskriptiver und induktiver statistischer Problemstellungen inklusive der...
CRC Press, 2022. — 229 p. — ISBN 978-0-367-50761-9. Public Policy Analytics: Code & Context for Data Science in Government teaches readers how to address complex public policy problems with data and analytics using reproducible methods in R. Each of the eight chapters provides a detailed case study, showing readers: how to develop exploratory indicators; understand ‘spatial...
Springer Cham, 2022. — 376 p. — eBook ISBN 978-3-031-07155-3. This book discusses the interplay between statistics, data science, machine learning and artificial intelligence, with a focus on environmental science, the natural sciences, and technology. It covers the state of the art from both a theoretical and a practical viewpoint and describes how to successfully apply...
Springer Cham, 2022. — 376 p. — eBook ISBN 978-3-031-07155-3. This book discusses the interplay between statistics, data science, machine learning and artificial intelligence, with a focus on environmental science, the natural sciences, and technology. It covers the state of the art from both a theoretical and a practical viewpoint and describes how to successfully apply...
Stanford Med., 2018. — 55 p. Objectives: Examples demonstrating the benefits of lattice or ggplot2 package Help you decide which to try. Introduce keywords so that you will be able to find additional help in R documentation and by Googling. If you already use one of these packages, you might still learn something new—or decide to use the other one as well. Also ComplexHeatmap...
Springer, 2009. — 508 p. — ISBN 038777243X This book aims to provide insight and practical illustrations on how modern statistical concepts and regression methods can be applied in medical prediction problems, including diagnostic and prognostic outcomes. Many advances have been made in statistical approaches towards outcome prediction, but these innovations are insufficiently...
SAGE Publications Ltd, 2018. 392p. - ISBN: 978-1473924901 The dynamic, student focused textbook provides step-by-step instruction in the use of R and of statistical language as a general research tool. It is ideal for readers hoping to: Complete an introductory course in statistics Prepare for more advanced statistical courses Gain the transferable analytical skills needed to...
SAGE Publications Ltd, 2018. 392p. - ISBN: 978-1473924901 The dynamic, student focused textbook provides step-by-step instruction in the use of R and of statistical language as a general research tool. It is ideal for readers hoping to: Complete an introductory course in statistics Prepare for more advanced statistical courses Gain the transferable analytical skills needed to...
2nd Edition. — SAGE Publications Ltd, 2023. — 448 p. — ISBN 978-1529753530. Statistics is made simple with this award-winning guide to using R and applied statistical methods. With a clear step-by-step approach explained using real world examples, learn the practical skills you need to use statistical methods in your research from an expert with over 30 years of teaching...
Packt Publishing, 2017. — 178 p. — ISBN: 978-1-78646-011-0. Leverage the power of advanced analytics and predictive modeling in Tableau using the statistical powers of R Tableau and R offer accessible analytics by allowing a combination of easy-to-use data visualization along with industry-standard, robust statistical computation. Moving from data visualization into deeper,...
Packt Publishing, 2017. — 178 p. — ISBN: 978-1-78646-011-0. Leverage the power of advanced analytics and predictive modeling in Tableau using the statistical powers of R Tableau and R offer accessible analytics by allowing a combination of easy-to-use data visualization along with industry-standard, robust statistical computation. Moving from data visualization into deeper,...
Packt Publishing, 2017. — 178 p. — ISBN: 978-1-78646-011-0. Leverage the power of advanced analytics and predictive modeling in Tableau using the statistical powers of R Tableau and R offer accessible analytics by allowing a combination of easy-to-use data visualization along with industry-standard, robust statistical computation. Moving from data visualization into deeper,...
Chapman, Hall/CRC, 2014. — 440 p. — (The R Series). — ISBN: 9781466561601
Science moves forward when discoveries are replicated and reproduced. In general, the more frequently a given relationship is observed by independent scientists, the more trust we have that such a relationship truly exists in nature. Replication, the practice of independently implementing scientific...
Apress, 2014. — 244 p. — ISBN: 148420140X. Using R for Statistics will get you the answers to most of the problems you are likely to encounter when using a variety of statistics. This book is a problem-solution primer for using R to set up your data, pose your problems and get answers using a wide array of statistical tests. The book walks you through R basics and how to use R...
Lulu Inc., 2014. — 535 p. — ISBN: 9781312841017. This book is about predictive analytics. Yet, each chapter could easily be handled by an entire volume of its own. So one might think of this a survey of predictive modeling, both statistical (parametric and nonparametric), as well as machine learning. We define predictive model as a statistical model or machine learning model...
A complete assessment of population growth and viability from field census data often requires complex data manipulations, statistical routines, mathematical tools, programming environments, and graphical capabilities. We therefore designed an R package called popbio to facilitate both the construction and analysis of projection matrix models. The package consists primarily of...
Packt Publishing, 2017 . - 366p. - ISBN: 1788621875 Key Features A handy guide to take your understanding of data analysis with R to the next level Real-world projects that focus on problems in finance, network analysis, social media, and more From data manipulation to analysis to visualization in R, this book will teach you everything you need to know about building end-to-end...
Packt Publishing, 2017 . - 366p. - ISBN: 1788621875 Key Features A handy guide to take your understanding of data analysis with R to the next level Real-world projects that focus on problems in finance, network analysis, social media, and more From data manipulation to analysis to visualization in R, this book will teach you everything you need to know about building end-to-end...
Packt Publishing, 2017 . - 366p. - ISBN: 1788621875 !Only code files! Key Features A handy guide to take your understanding of data analysis with R to the next level Real-world projects that focus on problems in finance, network analysis, social media, and more From data manipulation to analysis to visualization in R, this book will teach you everything you need to know about...
MJP Publishers, 2019. — 383 p. — ISBN: 9788180944086. If you are looking for a complete step-by-step instructions for learning R Programming for Statistical Data Analysis, Graphical Visualization and Data Mining, authors Dr. Sudhamathy & Dr. Jothi venkateswaran’s “R Programming - An Approach to Data Analytics” is a hands-on book packed with examples and references that would...
Springer, 2010. — 298 p. — ISBN 038740273X The first seven chapters use R for probability simulation and computation, including random number generation, numerical and Monte Carlo integration, and finding limiting distributions of Markov Chains with both discrete and continuous states. Applications include coverage probabilities of binomial confidence intervals, estimation of...
Springer, 2018. — 682 p. — (Use R!). — ISBN: 978-3-319-77645-3. Sound is almost always around us, anywhere, at any time, reaching our ears and stimulating our brains for better or worse. Sound can be the disturbing noise of a drill, a merry little tune sung by a friend, the song of a bird in the morning or a clap of thunder at night. The science of sound, or acoustics, studies...
Springer, 2018. — 572 p. — (Use R!). — ISBN: 978-3-319-77645-3. Sound is almost always around us, anywhere, at any time, reaching our ears and stimulating our brains for better or worse. Sound can be the disturbing noise of a drill, a merry little tune sung by a friend, the song of a bird in the morning or a clap of thunder at night. The science of sound, or acoustics, studies...
Springer Cham, 2025. — 363 p. — (Texts in Quantitative Political Analysis). — eBook ISBN 978-3-031-75853-9. Provides an introduction to using R for political science research. Suitable for students with no programming background. Teaches both tidyverse and base R for a solid foundation. This text teaches basic R skills to political science students with no programming...
Springer Cham, 2025. — 363 p. — (Texts in Quantitative Political Analysis). — eBook ISBN 978-3-031-75853-9. Provides an introduction to using R for political science research. Suitable for students with no programming background. Teaches both tidyverse and base R for a solid foundation. This text teaches basic R skills to political science students with no programming...
Manning Publications, 2024. — 672 p. Learn statistics by analyzing professional basketball data! In this action-packed book, you’ll build your skills in exploratory data analysis by digging into the fascinating world of NBA games and player stats using the R language. In Statistics Slam Dunk you’ll develop a toolbox of R data skills including: Reading and writing data...
Manning Publ., 2022. — 317 p. Learn statistics by analyzing professional basketball data! In this action-packed book, you’ll build your skills in exploratory data analysis by digging into the fascinating world of NBA games and player stats using the R language. Statistics Playbook upgrades your R data science skills by taking on practical analysis challenges based on NBA game...
Manning Publications, 2024. — 672 p. — ISBN-13: 978-1633438682. Learn statistics by analyzing professional basketball data! In this action-packed book, you’ll build your skills in exploratory data analysis by digging into the fascinating world of NBA games and player stats using the R language. In Statistics Slam Dunk you’ll develop a toolbox of R data skills including: Reading...
Manning Publications, 2024. — 672 p. — ISBN-13: 978-1633438682. Learn statistics by analyzing professional basketball data! In this action-packed book, you’ll build your skills in exploratory data analysis by digging into the fascinating world of NBA games and player stats using the R language. In Statistics Slam Dunk you’ll develop a toolbox of R data skills including: Reading...
Manning Publications, 2024. — 672 p. — ISBN-13: 978-1633438682. Learn statistics by analyzing professional basketball data! In this action-packed book, you’ll build your skills in exploratory data analysis by digging into the fascinating world of NBA games and player stats using the R language. In Statistics Slam Dunk you’ll develop a toolbox of R data skills including: Reading...
Springer, 2020. — 217 p. — ISBN: 978-9811575679 (paperback), ISBN: 978-9811575686 (ebook). The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than knowledge and experience. This textbook approaches the essence of machine learning and data science by considering math problems and building R programs. As the...
Chapman and Hall/CRC Press, 2022. — 292 p. — ISBN 978-1-003-03369-1. Introduction to Design and Analysis of Scientific Studies exposes undergraduate and graduate students to the foundations of classical experimental design and observational studies through a modern framework - The Rubin Causal Model. A causal inference framework is important in design, data collection and...
Wiley, 2012. — 272 p. — ISBN: 111802639X, 9781118026397 Introduces the graphical capabilities of R to readers new to the software Due to its flexibility and availability, R has become the computing software of choice for statistical computing and generating graphics across various fields of research. Guidebook to R Graphics Using Microsoft Windows offers a unique presentation...
Wiley – 2005, 565 pages ISBN: 9780471745839 An easy-to-grasp introduction to nonparametric regression This book's straightforward, step-by-step approach provides an excellent introduction to the field for novices of nonparametric regression. Introduction to Nonparametric Regression clearly explains the basic concepts underlying nonparametric regression and features: Thorough...
Packt Publishing, 2018. — 376 p. — ISBN: 978-1788624145. Key Features Implement machine learning algorithms to build ensemble-efficient models Explore powerful R packages to create predictive models using ensemble methods Learn to build ensemble models on large datasets using a practical approach Book Description Ensemble techniques are used for combining two or more similar or...
Packt Publishing, 2018. — 376 p. — ISBN: 978-1788624145. !Only code files Key Features Implement machine learning algorithms to build ensemble-efficient models Explore powerful R packages to create predictive models using ensemble methods Learn to build ensemble models on large datasets using a practical approach Book Description Ensemble techniques are used for combining two...
Packt Publishing, 2018. — 376 p. — ISBN: 978-1788624145. Key Features Implement machine learning algorithms to build ensemble-efficient models Explore powerful R packages to create predictive models using ensemble methods Learn to build ensemble models on large datasets using a practical approach Book Description Ensemble techniques are used for combining two or more similar or...
Pact Publishing, 2013. — 345 p. — ISBN: 1849519447, 9781849519441
The open source software R is fast becoming one of the preferred companions of Statistics even as the subject continues to add many friends in Machine Learning, Data Mining, and so on among its already rich scientific network. The era of mathematical theory and statistical applications embeddedness is truly a...
Wiley, 2016. — 768 p. — ISBN: 1119152720
Integrates the theory and applications of statistics using R "A Course in Statistics with R" has been written to bridge the gap between theory and applications and explain how mathematical expressions are converted into R programs. The book has been primarily designed as a useful companion for a Masters student during each semester of...
Springer, 2017. — 270 p. — ISBN: 9789811069956. The motivation in writing this book comes after the presentation of a poster at the R conference 2015 held at Denmark, Alborg, titled “Extending the Quasi-Symmetry Model: Quasi-Symmetry with n Degree.” I found that modeling doubly classified table is quite unknown to most conference attendees. Although there has been a dramatic...
O’Reilly Media, 2011. — 66 p. This short, concise book provides beginners with a selection of how-to recipes to solve simple problems with R. Each solution gives you just what you need to know to get started with R for basic statistics, graphics, and regression. These solutions were selected from O’Reilly’s R Cookbook, which contains more than 200 recipes for R that you’ll find...
O’Reilly Media, 2011. — 436 p. — ISBN 0596809158. With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently. The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive with R immediately, with...
O’Reilly, 2011. — 436 p. — (O’Reilly Cookbooks). — ISBN: 9780596809157. With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently. The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive with R...
O’Reilly Media, 2011. — 436 p. — ISBN: 978-0-596-80915-7. With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently. The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive with R immediately, with...
Packt Publishing, 2016. — 398 p. — ISBN: 978-1785881169. +Code files Harness actionable insights from your data with computational statistics and simulations using R About This Book Learn five different simulation techniques (Monte Carlo, Discrete Event Simulation, System Dynamics, Agent-Based Modeling, and Resampling) in-depth using real-world case studies A unique book that...
Springer International Publishing AG, 2017. — 264 p. — ISBN: 3319502700. This book on statistical disclosure control presents the theory, applications and software implementation of the traditional approach to (micro)data anonymization, including data perturbation methods, disclosure risk, data utility, information loss and methods for simulating synthetic data. Introducing...
Springer International Publishing AG, 2017. — 299 p. — ISBN: 3319502700. This book on statistical disclosure control presents the theory, applications and software implementation of the traditional approach to (micro)data anonymization, including data perturbation methods, disclosure risk, data utility, information loss and methods for simulating synthetic data. Introducing...
Packt Publishing, 2016. — 398 p. — ISBN: 978-1-78588-116-9. Harness actionable insights from your data with computational statistics and simulations using R Data Science with R aims to teach you how to begin performing data science tasks by taking advantage of Rs powerful ecosystem of packages. R being the most widely used programming language when used with data science can be...
Packt Publishing, 2016. — 398 p. — ISBN: 978-1-78588-116-9. Harness actionable insights from your data with computational statistics and simulations using R Data Science with R aims to teach you how to begin performing data science tasks by taking advantage of Rs powerful ecosystem of packages. R being the most widely used programming language when used with data science can be...
Packt Publishing, 2015. — 174 p. in color. — ISBN: 1785283529, 9781785283529
ggplot2 is one of the most sophisticated and advanced packages of R and its use is constantly growing in the community of R programmers. This book is the perfect starting point for your journey in learning about one of the most refined and widely used plotting tools―ggplot2.
You will start by taking a...
Packt Publishing, 2015. — 174 p. in color. — ISBN: 1785283529, 9781785283529
ggplot2 is one of the most sophisticated and advanced packages of R and its use is constantly growing in the community of R programmers. This book is the perfect starting point for your journey in learning about one of the most refined and widely used plotting tools―ggplot2.
You will start by taking a...
Packt Publishing, 2013. — 54 p.
Jump into the R programming language and go beyond
R is a versatile cross-platform environment with the power of a programming language and the flexibility of a scripting language. It is extremely powerful in manipulating and visualizing complex databases, performing statistical computations and producing any kind of plot with a very high...
Springer, 2013. — 108 p. — ISBN: 1461445833, 9781461445845 Series: SpringerBriefs in Political Science Social science theory often builds on sets and their relations. Correlation-based methods of scientific enquiry, however, use linear algebra and are unsuited to analyzing set relations. The development of Qualitative Comparative Analysis (QCA) by Charles Ragin has given social...
Ade4 is a multivariate data analysis package for the R statistical environment, and ade4TkGUI is a Tcl/Tk graphical user interface for the most essential methods of ade
4. Both packages are available on CRAN. An overview of ade4TkGUI is presented, and the pros and cons of this approach are discussed. We conclude that command line interfaces (CLI) and graphical user interfaces...
2nd Edition. — CRC Press, 2025. — 493 р. — ISBN: 978-1-032-51244-0. The past decades have transformed the world of statistical data analysis, with new methods, new types of data, and new computational tools. Modern Statistics with R introduces you to key parts of this modern statistical toolkit. R is not like other statistical software packages. It is free, versatile, fast, and...
Apress, 2025. — 222 p. — ISBN 9798868805790. This book is not a comprehensive guide; if that's what you're seeking, you may want to look elsewhere. Instead, it serves as a map, outlining the necessary tools and topics for your research journey. The goal is to build your intuition and provide pointers for where to find more detailed information. The chapters are deliberately...
Apress, 2025. — 222 p. — ISBN 9798868805790. This book is not a comprehensive guide; if that's what you're seeking, you may want to look elsewhere. Instead, it serves as a map, outlining the necessary tools and topics for your research journey. The goal is to build your intuition and provide pointers for where to find more detailed information. The chapters are deliberately...
Apress, 2019. - 365p. - ISBN: 1484244044 2nd.ed This handy reference book detailing the intricacies of R updates the popular first edition by adding R version 3.4 and 3.5 features. Starting with the basic structure of R, the book takes you on a journey through the terminology used in R and the syntax required to make R work. You will find looking up the correct form for an...
Apress, 2014. — 209 p. — ISBN: 9781430266402 The R Quick Syntax Reference is a handy reference book detailing the intricacies of the R language. Not only is R a free, open-source tool, R is powerful, flexible, and has state of the art statistical techniques available. With the many details which must be correct when using any language, however, the R Quick Syntax Reference...
Apress, 2021. — 416 p. — ISBN 9781484268308. Master the syntax for working with R’s plotting functions in graphics and stats in this easy reference to formatting plots. The approach in Visualizing Data in R 4 toward the application of formatting in ggplot() will follow the structure of the formatting used by the plotting functions in graphics and stats. This book will take...
Apress, 2021. — 416 p. — ISBN 9781484268308. Master the syntax for working with R’s plotting functions in graphics and stats in this easy reference to formatting plots. The approach in Visualizing Data in R 4 toward the application of formatting in ggplot() will follow the structure of the formatting used by the plotting functions in graphics and stats. This book will take...
Apress Media LLC, 2022. — 602 p. — ISBN-13: 978-1-4842-7923-6. This handy reference book detailing the intricacies of R covers version 4.x features, including numerous and significant changes to syntax, strings, reference counting, grid units, and more. Starting with the basic structure of R, the book takes you on a journey through the terminology used in R and the syntax...
Apress Media LLC, 2022. — 602 p. — ISBN-13 (electronic): 978-1-4842-7924-3. This handy reference book detailing the intricacies of R covers version 4.x features, including numerous and significant changes to syntax, strings, reference counting, grid units, and more. Starting with the basic structure of R, the book takes you on a journey through the terminology used in R and the...
Apress Media LLC, 2022. — 602 p. — ISBN-13 (electronic): 978-1-4842-7924-3. This handy reference book detailing the intricacies of R covers version 4.x features, including numerous and significant changes to syntax, strings, reference counting, grid units, and more. Starting with the basic structure of R, the book takes you on a journey through the terminology used in R and the...
Apress Media LLC, 2022. — 602 p. — ISBN-13 (electronic): 978-1-4842-7924-3. This handy reference book detailing the intricacies of R covers version 4.x features, including numerous and significant changes to syntax, strings, reference counting, grid units, and more. Starting with the basic structure of R, the book takes you on a journey through the terminology used in R and the...
2nd edition. — Apress, 2019. — 365 p. — ISBN13: 978-1-4842-4405-0. This handy reference book detailing the intricacies of R updates the popular first edition by adding R version 3.4 and 3.5 features. Starting with the basic structure of R, the book takes you on a journey through the terminology used in R and the syntax required to make R work. You will find looking up the...
Apress, 2019. — 365 p. — ISBN13: (electronic): 978-1-4842-4405-0. This handy reference book detailing the intricacies of R updates the popular first edition by adding R version 3.4 and 3.5 features. Starting with the basic structure of R, the book takes you on a journey through the terminology used in R and the syntax required to make R work. You will find looking up the...
Apress, 2021. — 404 p. — ISBN 978-1484268308. Master the syntax for working with R’s plotting functions in graphics and stats in this easy reference to formatting plots. The approach in Visualizing Data in R 4 toward the application of formatting in ggplot() will follow the structure of the formatting used by the plotting functions in graphics and stats. This book will take...
Apress, 2021. — 404 p. — ISBN 978-1484268308. Master the syntax for working with R’s plotting functions in graphics and stats in this easy reference to formatting plots. The approach in Visualizing Data in R 4 toward the application of formatting in ggplot() will follow the structure of the formatting used by the plotting functions in graphics and stats. This book will take...
Apress, 2021. — 404 p. — ISBN 978-1484268308. Source code only! Master the syntax for working with R’s plotting functions in graphics and stats in this easy reference to formatting plots. The approach in Visualizing Data in R 4 toward the application of formatting in ggplot() will follow the structure of the formatting used by the plotting functions in graphics and stats. This...
Springer, 2021. — 275 p. — (UseR!). — ISBN 978-3-030-82567-6. This book provides a guided approach to the geostatistical modelling of compositional spatial data. These data are data in proportions, percentages or concentrations distributed in space which exhibit spatial correlation. The book can be divided into four blocks. The first block sets the framework and provides some...
This paper describes the implementation of Heckman-type sample selection models in R. We discuss the sample selection problem as well as the Heckman solution to it, and argue that although modern econometrics has non- and semiparametric estimation methods in its toolbox, Heckman models are an integral part of the modern applied analysis and econometrics syllabus. We describe the...
Packt Publishing, 2014. — 364 p. — ISBN: 1784390860. Learn and explore the fundamentals of data science with R. Familiarize yourself with R programming packages and learn how to utilize them effectively; Learn how to detect different types of data mining sequences; A step-by-step guide to understanding R scripts and the ramifications of your changes. Who This Book Is For If you...
Packt Publishing, 2014. — 364 p. — ISBN: 1784390860. Learn and explore the fundamentals of data science with R. Familiarize yourself with R programming packages and learn how to utilize them effectively; Learn how to detect different types of data mining sequences; A step-by-step guide to understanding R scripts and the ramifications of your changes. Who This Book Is For If you...
2014.
This document contains explanations, examples and exercises, which can be understood (hopefully) by people without any programming experience. Going through all text and exercises takes about 1 or 2 hours.
Chapman and Hall/CRC, 2010. — 305 p. — ISBN 1439810184, 9781439810187. The versatile capabilities and large set of add-on packages make R an excellent alternative to many existing and often expensive data mining tools. Exploring this area from the perspective of a practitioner, Data Mining with R: Learning with Case Studies uses practical examples to illustrate the power of R...
2nd ed. — Taylor & Francis;Chapman and Hall/CRC, 2017. — 426 p. — (Chapman & Hall/CRC Data Mining and Knowledge Discovery). — ISBN: 9781482234893, 1482234890 Data Mining with R: Learning with Case Studies, Second Edition uses practical examples to illustrate the power of R and data mining. Providing an extensive update to the best-selling first edition, this new edition is...
2nd ed. — Chapman and Hall/CRC , 2017. — 446 p. — ISBN: 978-1482234893. Data Mining with R: Learning with Case Studies, Second Edition uses practical examples to illustrate the power of R and data mining. Providing an extensive update to the best-selling first edition, this new edition is divided into two parts. The first part will feature introductory material, including a new...
De Gruyter, 2023. — 398 p. — ISBN 978-3-11-070497-6. Many students learn to analyze data using commercial packages, even though there is an open-source software with cutting-edge possibilities: R, a programming language with countless cool features for applied empirical research. Practice R introduces R to social science students, inspiring them to consider R as an excellent...
Packt Publishing, 2017. — 559 p. — ISBN: 9781785280511, 1785280511. Data in today’s world is the new black gold which is growing exponentially. This growth can be attributed to the growth of existing data, and new data in a structured and unstructured format from multiple sources such as social media, Internet, documents and the Internet of Things. The flow of data must be...
Chapman and Hall/CRC; 1 edition | 2009 | ISBN: 1584889470 | 351 pages This text explains how statistical methods are used for data analysis and uses the elementary functions of R to perform the individual steps of statistical procedures. It includes amusing anecdotes and trivia, such as Ambrose Bierce’s definition of insurance. The text introduces basic concepts of inference...
Wiley, 2013. — 416 p. — ISBN: 0470890819, 9780470890813
A complete set of statistical tools for beginning financial analysts from a leading authority
Written by one of the leading experts on the topic, An Introduction to Analysis of Financial Data with R explores basic concepts of visualization of financial data. Through a fundamental balance between theory and applications,...
N.-Y.: Wiley, 2012. - 416p.
A complete set of statistical tools for beginning financial analysts from a leading authority
Written by one of the leading experts on the topic, An Introduction to Analysis of Financial Data with R explores basic concepts of visualization of financial data. Through a fundamental balance between theory and applications, the book supplies readers...
Wiley, 2013. — 520 p. — ISBN: 1118617908, 9781118617908 An accessible guide to the multivariate time series tools used in numerous real-world applications Multivariate Time Series Analysis: With R and Financial Applications is the much anticipated sequel coming from one of the most influential and prominent experts on the topic of time series. Through a fundamental balance of...
Wiley – 2011, 704 pages ISBN: 0470688297, 9780470688298 Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge. Data mining is usually associated with a business or an organization's need...
New York: Chapman & Hall/CRC, 2015. — 152 p. Graphical Data Analysis with R shows you what information you can gain from graphical displays. The book focuses on why you draw graphics to display data and which graphics to draw (and uses R to do so). All the datasets are available in R or one of its packages and the R code is available at rosuda.org/GDA. Graphical data analysis...
Uppsala University, 2014. — 102 p. — ISBN: N\A. This introduction directed at advanced BSc and at beginning MSc students on Biology at Uppsala University and may of course also be helpful for anyone interested. We have kept this script concise and applied in order to allow people to conduct own statistical analyses in R after a short time. Note that this “quick- start” guide...
Springer, 2014. — 257 p. — ISBN: 3319037420, 9783319037424 This book guides animal ecologists, biologists and wildlife and data managers through a step-by-step procedure to build their own advanced software platforms to manage and process wildlife tracking data. This unique, problem-solving-oriented guide focuses on how to extract the most from GPS animal tracking data, while...
Chapman and Hall/CRC, 2021. — 461 p. — (Chapman & Hall/CRC The R Series). — ISBN 978-0367818890. R for Political Data Science: A Practical Guide is a handbook for political scientists new to R who want to learn the most useful and common ways to interpret and analyze political data. It was written by political scientists, thinking about the many real-world problems faced in...
Packt Publishing, 2014. — 218 p. — ISBN10: 178398774X About This Book Build machine learning algorithms using the most powerful tools in R Identify business problems and solve them by developing effective solutions Hands-on tutorial explaining the concepts through lots of practical examples, tips and tricks Who This Book Is For If you want to learn how to develop effective...
CRC Press – 2009, 355 pages ISBN: 142006973X, 9781420069730 Emphasizing the search for patterns within and between biological sequences, trees, and graphs, Combinatorial Pattern Matching Algorithms in Computational Biology Using Perl and R shows how combinatorial pattern matching algorithms can solve computational biology problems that arise in the analysis of genomic,...
Chapman and Hall/CRC, 2024. — 326 р. — ISBN: 978-1-032-24697-0. Visualizing Surveys in R is about creating static, print quality figures from survey data using R. The focus is not, for example, on statistical analysis of survey data, but rather on giving concrete solutions for typical problems in visualizing survey data. While there are many excellent books on data...
Springer, 2013. — 280 p. 62 illus., 20 illus. in color — ISBN: 3642368085, 9783642368097 This book presents the statistical analysis of compositional data sets, i.e., data in percentages, proportions, concentrations, etc. The subject is covered from its grounding principles to the practical use in descriptive exploratory analysis, robust linear models and advanced multivariate...
Wiley, 2018. — 320 p. — ISBN: 978-1118897157. A comprehensive guide to automated statistical data cleaning The production of clean data is a complex and time-consuming process that requires both technical know-how and statistical expertise. Statistical Data Cleaning brings together a wide range of techniques for cleaning textual, numeric or categorical data. This book examines...
Packt Publishing – 2012, 126 pages ISBN: 1782160604 , 9781782160601 Learn to effectively perform R development, statistical analysis, and reporting with the most popular R IDE Overview A complete practical tutorial for RStudio, designed keeping in mind the needs of analysts and R developers alike. Step-by-step examples that apply the principles of reproducible research and good...
Wiley, 2018. — 320 p. — ISBN 978-1118897157 (hardcover). A comprehensive guide to automated statistical data cleaning The production of clean data is a complex and time-consuming process that requires both technical know-how and statistical expertise. Statistical Data Cleaning brings together a wide range of techniques for cleaning textual, numeric or categorical data. This...
Vasanthakumar, 2021. — 65 p. R in Hand, First Edition provides you with a guided introduction to R, supplying you with a 2,000-foot view of the platform and its capabilities it'll introduce you to the foremost important functions within the base installation and quite useful contributed packages. Throughout the book, the goal is practical application—how you'll add up of your...
Amazon.com Services LLC, 2021. — 65 p. This Research description has been designed specifically for all categories of researchers which impressively explores the basic data analysis and graphics using R. This edition will satisfy the intensifying need for all social science research and researchers. It acts as an aid to the researcher to know When, Where, How to use the...
Amazon.com Services LLC, 2021. — 65 p. This Research description has been designed specifically for all categories of researchers which impressively explores the basic data analysis and graphics using R. This edition will satisfy the intensifying need for all social science research and researchers. It acts as an aid to the researcher to know When, Where, How to use the...
Amazon.com Services LLC, 2021. — 65 p. This Research description has been designed specifically for all categories of researchers which impressively explores the basic data analysis and graphics using R. This edition will satisfy the intensifying need for all social science research and researchers. It acts as an aid to the researcher to know When, Where, How to use the...
Springer, 2010. — 178 p. — ISBN 3642163122 Statistics and hypothesis testing are routinely used in areas (such as linguistics) that are traditionally not mathematically intensive. In such fields, when faced with experimental data, many students and researchers tend to rely on commercial packages to carry out statistical data analysis, often without understanding the logic of...
This introduction to R is derived from an original set of notes describing the S and SPlus environments written in 1990–2 by Bill Venables and David M. Smith when at the University of Adelaide. We have made a number of small changes to reflect differences between the R and S programs, and expanded some of the material.
We would like to extend warm thanks to Bill Venables (and...
Springer, 2003. — 24 p. — ISBN: 038798966826 These complements are made available on-line to supplement the book. In particular they describe changes for later versions of R and for S-PLUS 6.x on Unix and on Windows. Detailed changes are given in the on-line errata files: in particular many of the aspects in which R was different in late 1999 have been removed. The general...
Springer, 2003. — 498 p. S is a powerful environment for the statistical and graphical analysis of data. It provides the tools to implement many statistical ideas that have been made possible by the widespread availability of workstations having good graphics and computational capabilities. This book is a guide to using S environments to perform statistical analyses and...
3rd ed. — New York: Springer, 1999. — 508 p. — (Statistics and Computing). — ISBN: 9781475731231, 9781475731217 S-PLUS is a system for data analysis from the Data Analysis and Products Division of MathSoft, an enhanced version of the S environment for data analysis developed at Bell Laboratories (of AT&T and now Lucent Technologies). S-PLUS has become the statistician's...
2nd ed. — New York: Springer, 1997. — 562 p. — (Statistics and Computing). — ISBN: 9781475727210, 9781475727197 S-PLUS is a powerful environment for the statistical and graphical analysis of data. It provides the tools to implement many statistical ideas which have been made possible by the widespread availability of workstations having good graphics and computational...
S is a high-level language for manipulating, analysing and displaying data. It forms the basis of two highly acclaimed and widely used data analysis software systems, the commercial S-PLUS(R) and the Open Source R. This book provides an in-depth guide to writing software in the S language under either or both of those systems. It is intended for readers who have some acquaintance...
R Development Core Team, 2004. — 96 p. — ISBN: 3900051127 This introduction to R is derived from an original set of notes describing the S and S-Plus environments written by Bill Venables and David M. Smith (Insightful Corporation). We have made a number of small changes to reflect differences between the R and S programs, and expanded some of the material. We would like to...
The Rasch sampler is an efficient algorithm to sample binary matrices with given marginal sums. It is a Markov chain Monte Carlo (MCMC) algorithm. The program can handle matrices of up to 1024 rows and 64 columns. A special option allows to sample square matrices with given marginals and fixed main diagonal, a problem prominent in social network analysis. In all cases the...
O’Reilly Media | 2011 | ISBN: 1449309038 | 92 pages | Dive into the RStudio Integrated Development Environment (IDE) for using and programming R, the popular open source software for statistical computing and graphics. This concise book provides new and experienced users with an overview of RStudio, as well as hands-on instructions for analyzing data, generating reports, and...
O’Reilly, 2011. — 131 p. — ISBN: 9781449309039
This book introduces users to the RStudio Integrated Development Environment (IDE) for using and programming R, the widely used open-source statistical computing environment. RStudio is a separate open-source project that brings many powerful coding tools together into an intuitive, easy-to-learn interface. RStudio runs in all...
Website. – 114 p. – ISBN: N/A The cost of statistical computing software has precluded many universities from installing these valuable computational and analytical tools. R, a powerful open-source software package, was created in response to this issue. It has enjoyed explosive growth since its introduction, owing to its coherence, flexibility, and free availability. While it...
Chapman & Hall/CRC Press, 2004. — 432 p. — ISBN: 1584884509, 0203499891. The cost of statistical computing software has precluded many universities from installing these valuable computational and analytical tools. R, a powerful open-source software package, was created in response to this issue. It has enjoyed explosive growth since its introduction, owing to its coherence,...
2nd ed. — Chapman and Hall/CRC, 2014. — 514 p. — (The R Series). — ISBN: 1466590734, 9781466590731
The second edition of a bestselling textbook, Using R for Introductory Statistics guides students through the basics of R, helping them overcome the sometimes steep learning curve. The author does this by breaking the material down into small, task-oriented steps. The second...
Academic Press, 2021. — 184 p. — ISBN 978-0128244302. Pedigree Analysis in R gives an introduction to the theory of relatedness and covers a range of applications in forensic and medical genetics. The book's material was developed through teaching courses on genetic relatedness, pedigree analysis and R, and offers insights from a decade of research activities in forensic and...
Springer, 2010. — 218 p. — ISBN 978-1-4419-1763-8 This book covers recent advances for quantitative researchers with practical examples from social sciences. The following twelve chapters written by distinguished authors cover a wide range of issues-all providing practical tools using the free R software. McCullough: R can be used for reliable statistical computing, whereas...
Packt Publishing, 2015. — 342 p. — ISBN: 1783989068, 9781783989065 Data analysis has recently emerged as a very important focus for a huge range of organizations and businesses. R makes detailed data analysis easier, making advanced data exploration and insight accessible to anyone interested in learning it. This book empowers you by showing you ways to use R to generate...
Packt Publishing, 2016. — 1919 p. — ASIN B01N7AE091. Proficiently analyze data and apply machine learning techniques Generate visualizations, develop interactive visualizations and applications to understand various data exploratory functions in R Construct a predictive model by using a variety of machine learning packages Who This Book Is For This Learning Path is ideal for...
Wiley, 2013. — 388 p. — ISBN: 1118357728, 9781118357729 A comprehensive introduction to sampling-based methods in statistical computing The use of computers in mathematics and statistics has opened up a wide range of techniques for studying otherwise intractable problems. Sampling-based simulation techniques are now an invaluable tool for exploring statistical models. This book...
CRC Press, 2018. — 319 p. — ISBN: 9781498795883. Analyzing Health Data in R for SAS Users is aimed at helping health data analysts who use SAS accomplish some of the same tasks in R. It is targeted to public health students and professionals who have a background in biostatistics and SAS software, but are new to R. For professors, it is useful as a textbook for a descriptive or...
Packt Publishing, 2017. — 217 p. — ISBN: 9781786466457 R programming language—an open source, free, extremely versatile statistical environment, has a potential to fill this gap by providing users with a large variety of highly optimized data processing methods, aggregations, statistical tests, and machine learning algorithms with a relatively user-friendly and easily customizable...
Packt Publishing, 2016. — 498 p. — ISBN10: 1786466457, ISBN13: 978-1786466457. True PDF Big Data analytics is the process of examining large and complex data sets that often exceed the computational capabilities. R is a leading programming language of data science, consisting of powerful functions to tackle all problems related to Big Data processing. The book will begin with a...
Chapman & Hall/CRC – 2008, 256 pages ISBN: 1420067273 Providing an interface between dry-bench bioinformaticians and wet-lab biologists, DNA Methylation Microarrays: Experimental Design and Statistical Analysis presents the statistical methods and tools to analyze high-throughput epigenomic data, in particular, DNA methylation microarray data. Since these microarrays share the...
Routledge, 2013. — 521 p. — ISBN: 9780203837375. This book has been heavily influenced by the students who have taken the course over the years. They have come from many different disciplines (e.g., educational psychology, school psychology, counseling psychology, school counseling, social foundations, curriculum and instruction, educational leadership, psychology, journalism...
Chapman & Hall/CRC, 2013. - 500p.
A new and refreshingly different approach to presenting the foundations of statistical algorithms, Foundations of Statistical Algorithms: With References to R Packages reviews the historical development of basic algorithms to illuminate the evolution of today's more powerful statistical algorithms. It emphasizes recurring themes in all...
Cambridge University Press, 2021. — 696 p. Using numerous examples with real data, this textbook closely integrates the learning of statistics with the learning of R. It is suitable for introductory-level learners, allows for curriculum flexibility, and includes, as an online resource, R-code script files for all examples and figures included in each chapter, for students to...
Apress, 2020. - 332p. - ISBN: 1484259459 Get started with an accelerated introduction to the R ecosystem, programming language, and tools including R script and RStudio. Utilizing many examples and projects, this book teaches you how to get data into R and how to work with that data using R. Once grounded in the fundamentals, the rest of Practical R 4 dives into specific...
Apress, 2020. — 332 p. — ISBN: 1484259459. Get started with an accelerated introduction to the R ecosystem, programming language, and tools including R script and RStudio. Utilizing many examples and projects, this book teaches you how to get data into R and how to work with that data using R. Once grounded in the fundamentals, the rest of Practical R 4 dives into specific...
Apress, 2020. — 332 p. — ISBN13: (electronic): 978-1-4842-5946-7. Get started with an accelerated introduction to the R ecosystem, programming language, and tools including R script and RStudio. Utilizing many examples and projects, this book teaches you how to get data into R and how to work with that data using R. Once grounded in the fundamentals, the rest of Practical R 4...
Apress, 2020. — 332 p. — ISBN13: (electronic): 978-1-4842-5946-7. Get started with an accelerated introduction to the R ecosystem, programming language, and tools including R script and RStudio. Utilizing many examples and projects, this book teaches you how to get data into R and how to work with that data using R. Once grounded in the fundamentals, the rest of Practical R 4...
The package dcemriS4 provides a complete set of data analysis tools for quantitative assessment of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). Image processing is provided for the ANALYZE and NIfTI data formats as input with all parameter estimates being output in NIfTI format. Estimation of T1 relaxation from multiple flip-angle acquisitions, using either...
Two packages, oro.dicom and oro.nifti, are provided for the interaction with and manipulation of medical imaging data that conform to the DICOM standard or ANALYZE/NIfTI formats. DICOM data, from a single file or directory tree, may be uploaded into R using basic data structures: a data frame for the header information and a matrix for the image data. A list structure is used to...
Chapman and Hall/CRC, 2021. — 390 p. — (The R Series). — ISBN 9780367205492. This book is aimed at conservation and development practitioners who need to learn and use R in a part-time professional context. It gives people with a non-technical background a set of skills to graph, map, and model in R. It also provides background on data integration in project management and...
Springer, 2009. — 216 p. — ISBN: 0387981403. This book describes ggplot2, a new data visualization package for R that uses the insights from Leland Wilkison’s Grammar of Graphics to create a powerful and flexible system for creating data graphics. With ggplot2, it’s easy to: produce handsome, publication-quality plots, with automatic legends created from the plot specification...
O’Reilly, 2015. — 202 p. — ISBN: 1491910593, 9781491910597 Turn your R code into packages that others can easily download and use. This practical book shows you how to bundle reusable R functions, sample data, and documentation together by applying author Hadley Wickham’s package development philosophy. In the process, you’ll work with devtools, roxygen, and testthat, a set of...
2nd. ed. — O’Reilly Media, 2023. — 379 p. — ISBN 109813494X. Turn your R code into packages that others can easily install and use . With this fully updated edition , developers and data scientists will learn how to bundle reusable R functions, sample data, and documentation together by applying the package development philosophy used by the team that maintains the "tidyverse"...
O’Reilly, 2017. — 586. — ISBN: 9781491910399
What exactly is data science? With this book, you’ll gain a clear understanding of this discipline for discovering natural laws in the structure of data. Along the way, you’ll learn how to use the versatile R programming language for data analysis.
Whenever you measure the same thing twice, you get two results—as long as you measure...
O’Reilly, 2017. — 586. — ISBN: 9781491910399
What exactly is data science? With this book, you’ll gain a clear understanding of this discipline for discovering natural laws in the structure of data. Along the way, you’ll learn how to use the versatile R programming language for data analysis.
Whenever you measure the same thing twice, you get two results—as long as you measure...
O’Reilly, 2017. — 586. — ISBN: 9781491910399
What exactly is data science? With this book, you’ll gain a clear understanding of this discipline for discovering natural laws in the structure of data. Along the way, you’ll learn how to use the versatile R programming language for data analysis.
Whenever you measure the same thing twice, you get two results—as long as you measure...
2nd Edition. — O’Reilly Media, Inc., 2023. — 381 p. — ISBN-13: 978-1-098-13494-5. Turn your R code into packages that others can easily install and use. With this fully updated edition, developers and data scientists will learn how to bundle reusable R functions, sample data, and documentation together by applying the package development philosophy used by the team that...
2nd Edition. — O’Reilly Media, Inc., 2023. — 381 р. — ISBN-13: 978-1-098-13494-5. Turn your R code into packages that others can easily install and use. With this fully updated edition, developers and data scientists will learn how to bundle reusable R functions, sample data, and documentation together by applying the package development philosophy used by the team that...
2nd Edition. — O’Reilly Media, Inc., 2023. — 381 р. — ISBN-13: 978-1-098-13494-5. Turn your R code into packages that others can easily install and use. With this fully updated edition, developers and data scientists will learn how to bundle reusable R functions, sample data, and documentation together by applying the package development philosophy used by the team that...
2nd Edition. — O’Reilly Media, Inc., 2023. — 600 p. — ISBN-13: 978-1-492-09740-2. Learn how to use R to turn data into insight, knowledge, and understanding. Ideal for current and aspiring data scientists, this book introduces you to doing data science with R and RStudio, as well as the tidyverse—a collection of R packages designed to work together to make data science fast,...
2nd Edition. — O’Reilly Media, Inc., 2023. — 600 p. — ISBN-13: 978-1-492-09740-2. Learn how to use R to turn data into insight, knowledge, and understanding. Ideal for current and aspiring data scientists, this book introduces you to doing data science with R and RStudio, as well as the tidyverse—a collection of R packages designed to work together to make data science fast,...
2nd Edition. — O’Reilly Media, Inc., 2023. — 600 p. — ISBN-13: 978-1-492-09740-2. Learn how to use R to turn data into insight, knowledge, and understanding. Ideal for current and aspiring data scientists, this book introduces you to doing data science with R and RStudio, as well as the tidyverse—a collection of R packages designed to work together to make data science fast,...
2nd Edition. — O’Reilly Media, Inc., 2023. — 579 p. — ISBN-13: 978-1-492-09740-2. Learn how to use R to turn data into insight, knowledge, and understanding. Ideal for current and aspiring data scientists, this book introduces you to doing data science with R and RStudio, as well as the tidyverse—a collection of R packages designed to work together to make data science fast,...
O’Reilly Media, 2017. — 522 p. — ISBN: 9781491910399. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham...
CRC Press, 2014. — 476 p. — 1466586966, 9781466586963. Advanced R presents useful tools and techniques for attacking many types of R programming problems, helping you avoid mistakes and dead ends. With more than ten years of experience programming in R, the author illustrates the elegance, beauty, and flexibility at the heart of R. The book develops the necessary skills to...
2nd Edition. — Springer, 2016. — 260 p. — This new edition to the classic book by ggplot2 creator Hadley Wickham highlights compatibility with knitr and RStudio. ggplot2 is a data visualization package for R that helps users create data graphics, including those that are multi-layered, with ease. With ggplot2, it's easy to: produce handsome, publication-quality plots with...
O’Reilly Media, Inc., 2021. — 372 p. — ISBN 978-1492047384. 2021-04-29: First Release Master the Shiny web framework—and take your R skills to a whole new level. By letting you move beyond static reports, Shiny helps you create fully interactive web apps for data analyses. Users will be able to jump between datasets, explore different subsets or facets of the data, run models...
O’Reilly Media, Inc., 2021. — 378 p. — ISBN 978-1-492-04738-4. Master the Shiny web framework—and take your R skills to a whole new level. By letting you move beyond static reports, Shiny helps you create fully interactive web apps for data analyses. Users will be able to jump between datasets, explore different subsets or facets of the data, run models with parameter values of...
O’Reilly Media, Inc., 2021. — 378 p. — ISBN 978-1-492-04738-4. Master the Shiny web framework—and take your R skills to a whole new level. By letting you move beyond static reports, Shiny helps you create fully interactive web apps for data analyses. Users will be able to jump between datasets, explore different subsets or facets of the data, run models with parameter values of...
O’Reilly Media, Inc., 2021. — 372 p. — ISBN 978-1492047384. Master the Shiny web framework—and take your R skills to a whole new level. By letting you move beyond static reports, Shiny helps you create fully interactive web apps for data analyses. Users will be able to jump between datasets, explore different subsets or facets of the data, run models with parameter values of...
CRC Press, 2019. — 397 p. — (The R series). — ISBN: 1138711136, 9781138711136. The world is becoming increasingly complex, with larger quantities of data available to be analyzed. It so happens that much of these "big data" that are available are spatio-temporal in nature, meaning that they can be indexed by their spatial locations and time stamps. Spatio-Temporal Statistics...
Academic Press | 2005 | ISBN: 0127515429 | 608 pages | 2nd ed This revised book provides a thorough explanation of the foundation of robust methods, incorporating the latest updates on R and S-Plus, robust ANOVA (Analysis of Variance) and regression. It guides advanced students and other professionals through the basic strategies used for developing practical solutions to...
Academic Press, 2012. – 689 p. – 3rd ed. – ISBN: 0123869838, 9780123869838 Statistical Modeling and Decision Science This revised book provides a thorough explanation of the foundation of robust methods, incorporating the latest updates on R and S-Plus, robust ANOVA (Analysis of Variance) and regression. It guides advanced students and other professionals through the basic...
Wiley, 2016. — 504 p. — ISBN: 1119061393, 9781119061397 Features a straightforward and concise resource for introductory statistical concepts, methods, and techniques using R Understanding and Applying Basic Statistical Methods Using R uniquely bridges the gap between advances in the statistical literature and methods routinely used by non–statisticians. Providing a conceptual...
Springer, 2016. — 284 p. — (Computer Science). — ISBN: 3319287893, 9783319287898
This book introduces Meaningful Purposive Interaction Analysis (MPIA) theory, which combines social network analysis (SNA) with latent semantic analysis (LSA) to help create and analyse a meaningful learning landscape from the digital traces left by a learning community in the co-construction of...
2nd ed. — Apress, 2015. — 337 p. — ISBN: 9781484203743 Beginning R, Second Edition is a hands-on book showing how to use the R language, write and save R scripts, read in data files, and write custom statistical functions as well as use built in functions. This book shows the use of R in specific cases such as one-way ANOVA analysis, linear and logistic regression, data...
Apress, 2016. — 282 p. — ISBN: 978-1-4842-2076-4. Program for data analysis using R and learn practical skills to make your work more efficient. This book covers how to automate running code and the creation of reports to share your results, as well as writing functions and packages. Advanced R is not designed to teach advanced R programming nor to teach the theory behind...
Apress, 2016. — 450 p. — ISBN: 1484220765, 9781484220764 EISBN: 9781484220771
Program for data analysis using R and learn practical skills to make your work more efficient. This book covers how to automate running code and the creation of reports to share your results, as well as writing functions and packages. Advanced R is not designed to teach advanced R programming nor to...
2nd ed. — Apress, 2020. — 446 p. — ISBN: 978-1484259726 (paperback), ISBN: 978-1484259733 (ebook). Program for data analysis using R and learn practical skills to make your work more efficient. This revised book explores how to automate running code and the creation of reports to share your results, as well as writing functions and packages. It includes key R 4 features such as...
2nd Edition. — Apress, 2020. — 439 p. — ISBN13: (electronic): 978-1-4842-5973-3. Program for data analysis using R and learn practical skills to make your work more efficient. This revised book explores how to automate running code and the creation of reports to share your results, as well as writing functions and packages. It includes key R 4 features such as a new color...
2nd Edition. — Apress, 2020. — 439 p. — ISBN13: (electronic): 978-1-4842-5973-3. Program for data analysis using R and learn practical skills to make your work more efficient. This revised book explores how to automate running code and the creation of reports to share your results, as well as writing functions and packages. It includes key R 4 features such as a new color...
2nd Edition. — Apress, 2020. — 439 p. — ISBN13: (electronic): 978-1-4842-5973-3. Program for data analysis using R and learn practical skills to make your work more efficient. This revised book explores how to automate running code and the creation of reports to share your results, as well as writing functions and packages. It includes key R 4 features such as a new color...
Apress, 2019. — 638 р. — ISBN: 978-1484228715. Carry out a variety of advanced statistical analyses including generalized additive models, mixed effects models, multiple imputation, machine learning, and missing data techniques using R. Each chapter starts with conceptual background information about the techniques, includes multiple examples using R to achieve results, and...
Apress, 2019. — 638 р. — ISBN: 978-1484228715. Carry out a variety of advanced statistical analyses including generalized additive models, mixed effects models, multiple imputation, machine learning, and missing data techniques using R. Each chapter starts with conceptual background information about the techniques, includes multiple examples using R to achieve results, and...
Apress Media, LLC., 2020. — 481 p. — ISBN13: 978-1-4842-6052-4. Learn how to use R 4, write and save R scripts, read in and write out data files, use built-in functions, and understand common statistical methods. This in-depth tutorial includes key R 4 features including a new color palette for charts, an enhanced reference counting system (useful for big data), and new data...
Apress Media, LLC., 2020. — 481 p. — e-ISBN 978-1-4842-6053-1. Learn how to use R 4, write and save R scripts, read in and write out data files, use built-in functions, and understand common statistical methods. This in-depth tutorial includes key R 4 features including a new color palette for charts, an enhanced reference counting system (useful for big data), and new data...
Apress Media, LLC., 2020. — 481 p. — e-ISBN 978-1-4842-6053-1. Learn how to use R 4, write and save R scripts, read in and write out data files, use built-in functions, and understand common statistical methods. This in-depth tutorial includes key R 4 features including a new color palette for charts, an enhanced reference counting system (useful for big data), and new data...
Apress Media, LLC., 2020. — 481 p. — e-ISBN 978-1-4842-6053-1. Learn how to use R 4, write and save R scripts, read in and write out data files, use built-in functions, and understand common statistical methods. This in-depth tutorial includes key R 4 features including a new color palette for charts, an enhanced reference counting system (useful for big data), and new data...
Springer, 2014. — 308 p. — (Use R!). — ISBN: 3319083821 This book provides an introduction to multistate event history analysis. It is an extension of survival analysis, in which a single terminal event (endpoint) is considered and the time-to-event is studied. Multistate models focus on life histories or trajectories, conceptualized as sequences of states and sequences of...
Springer – 2011, 538 pages.
ISBN: 1441998896.
Data mining is the art and science of intelligent data analysis. By building knowledge from information, data mining adds considerable value to the ever increasing stores of electronic data that abound today. In performing data mining many decisions need to be made regarding the choice of methodology, the choice of data, the choice...
Chapman & Hall, 2017. — 342 p. — ISBN: 978-1138088634. The Essentials of Data Science: Knowledge Discovery Using R presents the concepts of data science through a hands-on approach using free and open source software. It systematically drives an accessible journey through data analysis and machine learning to discover and share knowledge from data. Building on over thirty...
CRC, 2017. — 342 p. — ISBN: 978-1138088634. — (Chapman & Hall/CRC The R Series). Building on over thirty years’ experience in teaching and practising data science, the author encourages a programming-by-example approach to ensure students and practitioners attune to the practise of data science while building their data skills. Proven frameworks are provided as reusable...
Oxford University Press - 2009, 192 pages
You have successfully designed your first experiment, run the subjects, and you are faced with a mountain of data. What’s next? Does computing an analysis of variance by hand suddenly appear mysteriously attractive? Granted, writing an [R] program and actually getting it to run may appear to be quite an intimidating task for the novice,...
The Great Courses Corporate Headquarters, 2017. — 408 p. — (The Great Courses). — ISBN? “Show me the data!” This is coin of the realm in science, medicine, business, education, journalism, and countless other fields. Of course, it’s more complicated than that, because raw data without interpretation is useless. What they mean is “Show me the statistics”—well-founded, persuasive...
Bodo Winter, 2013. – 21 p. – ISBN: N/A
Linear models and linear mixed models are an impressively powerful and flexible tool for understanding the world. This tutorial is the first of two tutorials that introduce you to these models. The tutorials are decidedly conceptual and omit a lot of the more involved mathematical stuff. The focus is on understanding what these models are...
2. Auflage. — Berlin: Springer, 2012. — 536 s. — ISBN: 3642257992, 9783642257995. Dieses Buch liefert eine anwendungsorientierte Einführung in die statistische Datenauswertung mit der freien Statistikumgebung R. Es behandelt deskriptive Auswertungen ebenso wie inferenzstatistische Analysen. Neben den klassischen univariaten Verfahren berücksichtigt es auch zahlreiche...
Springer Spektrum, 2016. — 280 p. — ISBN: 9783662491010, 9783662491027. Dieses Buch liefert eine kompakte Einführung in die Datenauswertung mit der freien Statistikumgebung R. Ziel ist es dabei, einen Überblick über den Basisumfang von R zu schaffen und einen schnellen Einstieg in die deskriptive Datenauswertung sowie in die Umsetzung der wichtigsten statistischen Tests zu...
2nd Ed. — Chapman and Hall/CRC, 2017. — 516 p. — (Chapman & Hall/CRC Texts in Statistical Science). — ISBN10: 1498728332, ISBN13: 978-1498728331. Preview ebook The first edition of this book has established itself as one of the leading references on generalized additive models (GAMs), and the only book on the topic to be introductory in nature with a wealth of practical...
Chapman and Hall/CRC – 2006, 397 pages ISBN: 1584884746 Now in widespread use, generalized additive models (GAMs) have evolved into a standard statistical methodology of considerable flexibility. While Hastie and Tibshirani's outstanding 1990 research monograph on GAMs is largely responsible for this, there has been a long-standing need for an accessible introductory treatment...
Springer, 2021. — 341 p. — ISBN 978-3-030-50624-7. This book provides hands-on guidance for researchers and practitioners in criminal justice and criminology to perform statistical analyses and data visualization in the free and open-source software R. It offers a step-by-step guide for beginners to become familiar with the RStudio platform and tidyverse set of packages. This...
2nd Edition. — CRC Press, Taylor & Francis Group, 2016. — 634 p. — ISBN: 1498734227. Virtually any random process developing chronologically can be viewed as a time series. In economics closing prices of stocks, the cost of money, the jobless rate, and retail sales are just a few examples of many. Developed from course notes and extensively classroom-tested, Applied Time Series...
2nd Edition. — CRC Press, Taylor & Francis Group, 2016. — 634 p. — ISBN: 1498734227. Virtually any random process developing chronologically can be viewed as a time series. In economics closing prices of stocks, the cost of money, the jobless rate, and retail sales are just a few examples of many. Developed from course notes and extensively classroom-tested, Applied Time Series...
2nd Edition. — CRC Press, Taylor & Francis Group, 2017. — 751 p. — ISBN: 978-1-4987-3422-6. Virtually any random process developing chronologically can be viewed as a time series. In economics closing prices of stocks, the cost of money, the jobless rate, and retail sales are just a few examples of many. Developed from course notes and extensively classroom-tested, Applied Time...
Leanpub, 2021. — 780 p. Develop insights from data with tidy tools. Import, wrangle, visualize, and model data with the Tidyverse R packages. This book is intended for data scientists with some familiarity with the R programming language who are seeking to do Data Science using the Tidyverse family of packages. Through 5 chapters, you will cover importing, wrangling,...
SAGE, 2009. — 216 p. — ISBN: 1847879020, 1847879039. Statistics is the language of modern empirical social and behavioral science and the varieties of regression form the basis of this language. Statistical and computing advances have led to new and exciting regressions that have become the necessary tools for any researcher in these fields. In a way that is refreshingly...
CRC Press, 2018. — 583 p. — ISBN: 9781466516007. Nonparametric Models for Longitudinal Data with Implementations in R presents a comprehensive summary of major advances in nonparametric models and smoothing methods with longitudinal data. It covers methods, theories, and applications that are particularly useful for biomedical studies in the era of big data and precision...
Springer, 2013. — 453 p. 80 illus., 66 illus. in color — 2nd ed. — ISBN: 3642347487, 9783642347498 This greatly expanded 2nd edition provides a practical introduction to: data processing with Linux tools and the programming languages AWK and Perl data management with the relational database system MySQL, and data analysis and visualization with the statistical computing...
ETH Zürich, 2003. – 119 p. – ISBN: N/A This script collects material used in lecture Econophysics held in SS 2003 and in former lectures at the Insitute of Theoretical Physics of ETH Zürich. Markets, Basic Statistics, Date and Time Economic and Financial Markets Distribution Functions in Finance Searching for Structures and Dependencies Probability Theory and Hypothesis Testing...
Rmetrics Association & Finance Online, 2010. – 312 p. – ISBN: N/A This book is divided into two several thematically distinct parts: the first four parts give an introduction to R, and focus on the following topics: computions, programming, plotting and statistics and inference. Parts five, six, svem and eight contain a collection of case studies from topics such as utility...
Rmetrics Association & Finance Online, 2010. — 194 p. — ISBN: 9783906041049. In this eBook you will find solutions for how to compose download URLs, how to download financial time series and how to generate listings for the financial instruments to make the search for individual time series easier. In all cases examples and exercises are given. This eBook is a Sweave document...
Zurich: Rmetrics Association & Finance Online, 2009. — 455 p. — ISBN: 978-3-90604-101-8. This is a book about portfolio optimization from the perspective of computational finance and financial engineering. Thus the main emphasis is to briefly introduce the concepts and to give the reader a set of powerful tools to solve the problems in the field of portfolio optimization. This...
Rmetrics Association, 2010. — 164 p. — ISBN: 9783906041001. Are you working with R and Rmetrics in the field of finance? Then you will usually use either xts/zoo or timeSeries/timeDate as your preferred time series package of functions and methods to create and manage financial time series objects. Often you may have asked yourself how certain functions in one time series...
Rmetrics Association, 2010. — 252 p. — ISBN: N\A. Welcome to the first R/Rmetrics Singapore Conference on “Computational Topics in Finance”. We are very glad that you found the time to come to the Singapore, and for the many of you traveling from the U.S., Europe and various places in Asia, we hope that your journey was not too arduous. With the R/Rmetrics Singapore Conference,...
Rmetrics Association & Finance Online Publishing, 2015. — 304 p. — (R Rmetrics eBooks). — ISBN: 9783906041032. This is a book about the R packages timeDate and timeSeries.
Chapman & Hall, 2017. — 140 p. — (The R Series). — ISBN: 9781138700109, 113870010X bookdown: Authoring Books and Technical Documents with R Markdown presents a much easier way to write books and technical publications than traditional tools such as LaTeX and Word. The bookdown package inherits the simplicity of syntax and flexibility for data analysis from R Markdown, and extends...
2nd ed. — CRC Press, 2015. — 265 p. — (The R Series). — ISBN: 1498716962, 9781498716963, 9781498716970
Suitable for both beginners and advanced users, Dynamic Documents with R and knitr, Second Edition makes writing statistical reports easier by integrating computing directly with reporting. Reports range from homework, projects, exams, books, blogs, and web pages to virtually...
CRC Press, 2014. — 216 p. — ISBN: 1482203537, 9781482203530 The cut-and-paste approach to writing statistical reports is not only tedious and laborious, but also can be harmful to scientific research, because it is inconvenient to reproduce the results. Dynamic Documents with R and knitr introduces a new approach via dynamic documents, i.e. integrating computing directly with...
CRC Press, 2021. - 390p. - ISBN: 9780367563837 R Markdown is a powerful tool for combining analysis and reporting into the single document in the spirit of literate programming and reproducible research. Since the birth of the rmarkdown package in early 2014, R Markdown has grown substantially from a package that supports a few output formats (such as HTML, PDF, and Word) to an...
CRC Press, 2021. - 390p. - ISBN: 9780367563837 R Markdown is a powerful tool for combining analysis and reporting into the single document in the spirit of literate programming and reproducible research. Since the birth of the rmarkdown package in early 2014, R Markdown has grown substantially from a package that supports a few output formats (such as HTML, PDF, and Word) to an...
CRC Press, 2021. — 390 p. — ISBN: 9780367563837 R Markdown is a powerful tool for combining analysis and reporting into the single document in the spirit of literate programming and reproducible research. Since the birth of the rmarkdown package in early 2014, R Markdown has grown substantially from a package that supports a few output formats (such as HTML, PDF, and Word) to...
Chapman and Hall/CRC, 2020. — 390 p. — ISBN: 978-0367563820 (hardback), ISBN: 978-0367563837 (paperback), ISBN: 978-1003097471 (ebook). R Markdown is a powerful tool for combining analysis and reporting into the single document in the spirit of literate programming and reproducible research. Since the birth of the rmarkdown package in early 2014, R Markdown has grown...
CRC Press, 2018. — 340 p. R Markdown: The Definitive Guide is the first official book authored by the core R Markdown developers that provides a comprehensive and accurate reference to the R Markdown ecosystem. With R Markdown, you can easily create reproducible data analysis reports, presentations, dashboards, interactive applications, books, dissertations, websites, and...
CRC Press, 2018. — 172 p. — ISBN: 0815363729. blogdown: Creating Websites with R Markdown provides a practical guide for creating websites using the blogdown package in R. In this book, we show you how to use dynamic R Markdown documents to build static websites featuring R code (or other programming languages) with automatically rendered output such as graphics, tables,...
CRC Press, 2023. — 286 p. — ISBN 9780429056468. Modern Applied Regressions creates an intricate and colorful mural with mosaics of categorical and limited response variable (CLRV) models using both Bayesian and Frequentist approaches. Written for graduate students, junior researchers, and quantitative analysts in behavioral, health, and social sciences, this text provides...
The Hebrew University, 2011. — 324 p. The target audience for this book is college students who are required to learn statistics, students with little background in mathematics and often no motiva- tion to learn more. It is assumed that the students do have basic skills in using computers and have access to one. Moreover, it is assumed that the students are willing to actively...
Elsevier, 2013. — 160 p. This book presents examples and case studies on how to use R for data mining applications. This chapter introduces some basic concepts and techniques for data mining, including a data mining procedure and popular data mining techniques, such as clustering, classi cation and association rules. It also presents R and its packages, functions and task views...
CRC Press, 2019. — 327 p. — (Biostatistics Series). — ISBN: 9781138295872. Drug development is an iterative process. The recent publications of regulatory guidelines further entail a lifecycle approach. Blending data from disparate sources, the Bayesian approach provides a flexible framework for drug development. Despite its advantages, the uptake of Bayesian methodologies is...
Amazon.com Services LLC, 2020. — 140 p. — ISBN: N\A. This short book will get you to regex competence quickly. With simple explanations, Regular Expressions in R lays out practical examples and techniques to speed and simplify your R code. Take advantage of regular expression’s powerful text parsing tools. Who this book is for R developers, data scientists, and general R users...
Independently published, 2018. — 76 p. — ASIN B07L6RX5WL. Want to write R code better, faster, and simpler? Are you spending too much time manipulating data just to get ready for analysis? Do you have time to plow through wordy texts? This short book will help with all those problems. It lays out simple R code using the powerful data manipulation package DPLYR. The author...
Apress, 2021. — 348 p. — ISBN 978-1484268759. Want to use the power of R sooner rather than later? Don’t have time to plow through wordy texts and online manuals? Use this book for quick, simple code to get your projects up and running. It includes code and examples applicable to many disciplines. Written in everyday language with a minimum of complexity, each chapter provides...
Apress, 2021. — 348 p. — ISBN 978-1484268759. Want to use the power of R sooner rather than later? Don’t have time to plow through wordy texts and online manuals? Use this book for quick, simple code to get your projects up and running. It includes code and examples applicable to many disciplines. Written in everyday language with a minimum of complexity, each chapter provides...
Palo Alto: Chi Yau, 2013. — 520 p. This text provides R tutorials on statistics, including hypothesis testing, ANOVA and linear regression. It fulfills popular demands by users of r-tutor.com for exercise solutions and offline access. Part III of the text is about Bayesian statistics. It begins with closed analytic solutions and basic BUGS models for simple examples. Then it...
Wiley, 2011. — 384 p. — ISBN: 0470944889, 9780470944882. Practical data design tips from a data visualization expert of the modern age. Data doesn?t decrease it is ever-increasing and can be overwhelming to organize in a way that makes sense to its intended audience. Wouldn?t it be wonderful if we could actually visualize data in such a way that we could maximize its potential...
Wiley, 2011. — 384 p. — ISBN13: 978-0470944882. Practical data design tips from a data visualization expert of the modern age. Data doesn't decrease; it is ever–increasing and can be overwhelming to organize in a way that makes sense to its intended audience. Wouldn't it be wonderful if we could actually visualize data in such a way that we could maximize its potential and tell...
Springer, 2015. — 603 p. — (Springer Series in Statistics). — ISBN: 9781493928170, 9781493928187 This book presents a greatly enlarged statistical framework compared to generalized linear models (GLMs) with which to approach regression modelling. Comprising of about half-a-dozen major classes of statistical models, and fortified with necessary infrastructure to make the models...
This paper provides a brief introduction to the R package bio.infer, a set of scripts that facilitates the use of maximum likelihood (ML) methods for predicting environmental conditions from assemblage composition. Environmental conditions can often be inferred from only biological data, and these inferences are useful when other sources of data are unavailable. ML prediction...
Packt Publishing, 2016. — 452 p. — ASIN B01ET5I38M. Key Features Gain insight into how data scientists collect, process, analyze, and visualize data using some of the most popular R packages Understand how to apply useful data analysis techniques in R for real-world applications An easy-to-follow guide to make the life of data scientist easier with the problems faced while...
Packt Publishing, 2016. — 452 p. — ISBN: 978-1-78439-081-5. Over 100 hands-on recipes to effectively solve real-world data problems using the most popular R packages and techniques This cookbook offers a range of data analysis samples in simple and straightforward R code, providing step-by-step resources and time-saving methods to help you solve data problems efficiently The...
Packt Publishing, 2016. — 452 p. — ISBN: 978-1-78439-081-5. Over 100 hands-on recipes to effectively solve real-world data problems using the most popular R packages and techniques This cookbook offers a range of data analysis samples in simple and straightforward R code, providing step-by-step resources and time-saving methods to help you solve data problems efficiently. The...
Wiley, 2009. — 412 p. — ISBN: 0470050950, 9780470050958. An expert introduction to stage–wise adaptive designs in all areas of statistics Stage–Wise Adaptive Designs presents the theory and methodology of stage–wise adaptive design across various areas of study within the field of statistics, from sampling surveys and time series analysis to generalized linear models and...
The classical Poisson, geometric and negative binomial regression models for count data belong to the family of generalized linear models and are available at the core of the statistics toolbox in the R system for statistical computing. After reviewing the conceptual and computational features of these methods, a new implementation of hurdle and zero-inflated regression models in...
Springer, 2015. — 411 p. — (Statistics for Biology and Health). — ISBN: 3319140922, 9783319140926 This book brings the power of multivariate statistics to graduate-level practitioners, making these analytical methods accessible without lengthy mathematical derivations. Using the open source, shareware program R , Professor Zelterman demonstrates the process and outcomes for a...
CRC Press, 2018. — 371 p. — ISBN: 9781498736893. After the fundamental volume and the advanced technique volume, this volume focuses on R applications in the quantitative investment area. Quantitative investment has been hot for some years, and there are more and more startups working on it, combined with many other internet communities and business models. R is widely used in...
CRC Press, 2016. — 434 p. — ISBN: 9781498736879. — True PDF. Unlike other books about R, written from the perspective of statistics, R for Programmers: Mastering the Tools is written from the perspective of programmers, providing a channel for programmers with expertise in other programming languages to quickly understand R. The contents are divided into four sections: The...
CRC Press, 2016. — 434 p. — ISBN: 9781498736879. Unlike other books about R, written from the perspective of statistics, R for Programmers: Mastering the Tools is written from the perspective of programmers, providing a channel for programmers with expertise in other programming languages to quickly understand R. The contents are divided into four sections: The first section...
CRC Press, 2016. — 434 p. — ISBN: 9781498736879. Unlike other books about R, written from the perspective of statistics, R for Programmers: Mastering the Tools is written from the perspective of programmers, providing a channel for programmers with expertise in other programming languages to quickly understand R. The contents are divided into four sections: The first section...
CRC Press, 2016. — 369 p. — ISBN: 1498736815, 9781498736817
Unlike other books about R, written from the perspective of statistics, R for Programmers: Mastering the Tools is written from the perspective of programmers, providing a channel for programmers with expertise in other programming languages to quickly understand R. The contents are divided into four sections: The first...
CRC Press, 2017. — 415 p. — ISBN10: 1138627186. — ISBN13: 978-1138627185. This book discusses advanced topics such as R core programing, object oriented R programing, parallel computing with R, and spatial data types. The author leads readers to merge mature and effective methdologies in traditional programing to R programing. It shows how to interface R with C, Java, and other...
Academic Press, 2013. — 232 p. — ISBN: 0123969638, 9780123969637 R and Data Mining introduces researchers, post-graduate students, and analysts to data mining using R, a free software environment for statistical computing and graphics. The book provides practical methods for using R in applications from academia to industry to extract knowledge from vast amounts of data....
Academic Press is an imprint of Elsevier, 2013. — 470 p. — ISBN: 012411511X Data Mining Applications with R is a great resource for researchers and professionals to understand the wide use of R, a free software environment for statistical computing and graphics, in solving different problems in industry. R is widely used in leveraging data mining techniques across many...
Wiley, 2011. — 331 p. — ISBN: 0470621699. A hands-on guide to using R to carry out key statistical practices in educational and behavioral sciences research. Computing has become an essential part of the day-to-day practice of statistical work, broadening the types of questions that can now be addressed by research scientists applying newly derived data analytic techniques....
2nd ed. — Springer, 2011. — 1009 p. This book is a guide to analyzing and modeling financial time series using S-PLUS and S+FinMetrics. It is a unique blend of econometric theory, fi- nancial models, data analysis, and statistical programming. It serves as a user’s guide for Insightful’s S+FinMetrics module of statistical functions for financial time series analysis and financial...
Chapman & Hall/CRC | 2009 | ISBN:1584885734 | Pages: 275 | This book illustrates the wonderful flexibility of HMMs as general-purpose models for time series data. It presents an accessible overview of HMMs for analyzing time series data, from continuous-valued, circular, and multivariate series to binary data, bounded and unbounded counts, and categorical observations. It...
Boca Raton: CRC Press, 2016. — 388 p. Hidden Markov Models for Time Series: An Introduction Using R, Second Edition illustrates the great flexibility of hidden Markov models (HMMs) as general-purpose models for time series data. The book provides a broad understanding of the models and their uses. After presenting the basic model formulation, the book covers estimation,...
CRC, 2020. — 243 p. — ISBN 978-1138600812 (hardback), ISBN 978-1138600799 (paperback). Using data from one season of NBA games, Basketball Data Science: With Applications in R is the perfect book for anyone interested in learning and applying data analytics in basketball. Whether assessing the spatial performance of an NBA player’s shots or doing an analysis of the impact of...
Chapman and Hall/CRC, 2020. — 243 p. — ISBN: 978-1138600812 (hardback), ISBN: 978-1138600799 (paperback). Using data from one season of NBA games, Basketball Data Science: With Applications in R is the perfect book for anyone interested in learning and applying data analytics in basketball. Whether assessing the spatial performance of an NBA player’s shots or doing an analysis...
2nd Edition. — Manning Publications, 2020. — 568 p. — ISBN: 9781617295874. !Code files Practical Data Science with R, Second Edition is a task-based tutorial that leads readers through dozens of useful, data analysis practices using the R language. By concentrating on the most important tasks you'll face on the job, this friendly guide is comfortable both for business analysts...
2nd Edition. — Manning Publications, 2020. — 568 p. — ISBN: 9781617295874. Practical Data Science with R, Second Edition is a task-based tutorial that leads readers through dozens of useful, data analysis practices using the R language. By concentrating on the most important tasks you'll face on the job, this friendly guide is comfortable both for business analysts and data...
2nd ed. — Manning, 2019. — 448 p. — ISBN: 9781617295874. Practical Data Science with R, Second Edition takes a practice-oriented approach to explaining basic principles in the ever expanding field of data science. You'll jump right to real-world use cases as you apply the R programming language and statistical analysis techniques to carefully explained examples based in...
Manning, 2014. — 416 p. — ISBN: 1617291560, 9781617291562 Practical Data Science with R lives up to its name. It explains basic principles without the theoretical mumbo-jumbo and jumps right to the real use cases you'll face as you collect, curate, and analyze the data crucial to the success of your business. You'll apply the R programming language and statistical analysis...
Springer, 2009. — 236 p. — ISBN 0387938362. Based on their extensive experience with teaching R and statistics to applied scientists, the authors provide a beginner's guide to R. To avoid the difficulty of teaching R and statistics at the same time, statistical methods are kept to a minimum. The text covers how to download and install R, import and manage data, elementary...
Учебно-методическое пособие. — Самиздат, 2014. — 15 с. Целью этих практических занятий является познакомить вас с R и RStudio, которые вы будете использовать на протяжении всего курса и изучить статистические понятия, рассмотренные в лекциях, а также научиться анализировать реальные данные и делать обоснованные выводы. R - это название самого языка программирования, а RStudio...
Учебное пособие. — Новосибирск: Новосибирский государственный технический университет, 2021. — 88 с. — ISBN 978-5-7782-4337-8. Рассмотрены вопросы, связанные с решением задач исследования и прогнозирования временных рядов средствами языка и среды статистических вычислений R. В качестве математического аппарата используются классические параметрические...
Учебное пособие. — 2-е изд., перераб. и доп.— СПб.: Лань, 2015. — 160 c.: ил. — (Учебники для вузов. Специальная литература). — ISBN: 9785811418022. В учебном пособии в краткой форме излагается теоретический материал и приводятся примеры решения практических задач по разделам: линейная алгебра, теория вероятностей, методы оценивания и проверки гипотез, метод главных компонент,...
Учебное пособие. — Под ред. А.Г. Буховца. — Воронеж: Воронежский государственный аграрный университет (ВГАУ), 2010. — 124 с. Учебное пособие предназначено для студентов, обучающихся по направлениям 080100 – «Экономика» и 110300 – «Агроинженерия», программа которых предусматривает изучение современных средств и методов проведения статистического анализа данных. В учебном пособии...
Перевод и редакция Фоменко А.А. – Москва, 2014. – 109 с. – Серия технической документации. Данная книга является переводом технической документации, поставляемой в составе дистрибутива R, и призвана восполнить пробел в русской локализации системы R.
Харків: Харківський Національний Економічний університет, 2010. — 107 с. R – мова і середовище програмування орієнтовані, в першу чергу, на статистичні обрахунки, написання різного роду програм обробки, аналізу даних та представленні результатів в графічному вигляді. R є безкоштовним програмним середовищем з відкритим кодом, що розповсюджується на основі ліцензії GNU General...
М.: ДМК Пресс, 2016. — 452 c. — ISBN: 9785970602935. Книга представляет собой доступно изложенное введение в статистическое обучение - незаменимый набор инструментов, позволяющих извлечь полезную информацию из больших и сложных наборов данных, которые начали возникать в последние 20 лет в таких областях, как биология, экономика, маркетинг, физика и др. В этой книге описаны одни...
М.: ДМК Пресс, 2017. — 456 с. Книга представляет собой доступно изложенное введение в статистическое обучение - незаменимый набор инструментов, позволяющих извлечь полезную информацию из больших и сложных наборов данных, которые начали возникать в последние 20 лет в таких областях, как биология, экономика, маркетинг, физика и др. В этой книге описаны одни из наиболее важных...
Предварительная версия от 20 сентября 2013 г. — 18 с. Язык программирования R является диалектом (реализацией) языка S, который был разработан как эффективное и удобное средство для работы с данными, моделирования и визуализации. R развивается в рамках opensource-проекта и доступен для различных платформ: Windows, MacOS и Unix/Unix-подобных систем (включая FreeBSD и Linux)....
М.: МГУ, 2023. — 104 с. R – это мощный язык для статистических вычислений и графики, который может справиться поистине с любой задачей в области обработки данных. Он работает во всех важных операционных системах и поддерживает тысячи специализированных модулей и утилит. Все это делает R замечательным средством для извлечения полезной информации из гор сырых данных. Обработка...
М.: Российский университет дружбы народов, 2010. — 207 с. R - это одновременно и свободно распространяемая программная среда с открытым кодом, развиваемая в рамках проекта GNU, и язык программирования для статистической обработки данных и работы с графикой. R можно применять везде, где нужна работа с данными. Это и сама математическая статистика во всех её приложениях, и первичный...
М.: Российский университет дружбы народов, 2010. — 141 c. Во второй части пособия описаны: Основы теории вероятностей в R. Основы математической статистики в R. Проверка статистических гипотез в R для одной выборки. Проверка статистических гипотез в R для двух и более выборок.
Инфра-М, 2022. — 163 c. Учебное пособие содержит весь необходимый объем знаний для работы с программной средой R, включая особенности интерфейса, применяемые операторы и функции, а также основы статического анализа полученных результатов.
Нижний Новгород: Нижегородский государственный университет им. Н.И. Лобачевского (ННГУ), 2010. — 50 c. В научном сообществе пользуется популярностью пакет статистического анализа данных R. Это свободно распространяемые на условиях лицензии GNU язык и среда вкупе с большим набором библиотек, доступные для всех основных платформ — Unix, Linux, Windows и MacOS. Постоянно выходят...
М.: ДМК Пресс, 2014. — 588 с. — ISBN: 978-5-947060-077-1. Оглавление: Начало работы . Знакомство с R . Зачем использовать R? Получение и установка R. Работа в R. Пакеты. Пакетная обработка. Использование вывода в качестве ввода — повторное использование результатов. Работа с большими массивами данных. Учимся на примере. Создание набора данных . Что такое набор данных? Структуры...
СПб: СПбГЭТУ ЛЭТИ, 2011. — 40 с. — ISBN: N/A Описание основных методов программирования в пакете R (S-Plus) и его использования для обработки статистических данных.
Петрозаводск: ПетрГУ, 2021 — 117 с. — ISBN 9785802135051. Учебное пособие призвано способствовать овладению навыками профессиональной работы в среде R в процессе создания программ для обработки биологических и экологических данных на компьютере. В доступной форме изложены основы программирования на языке R, принципы организации баз данных и работы с ними. Кратко рассмотрены...
Без автора. — Б.и., 2010. — 29 с. Начало работы Способы работы в Windows Установка пакетов Рабочая область Элементарные команды Основы и помощь Данные (создание) Последовательности Строки Данные (загрузка, чтение, запись и сохранение) Данные (выбор и манипуляция) Манипулирование данными Массивы и матрицы Фреймы данных Индексирование (фрейм данных) Индексирование (списков)...
М.: ДМК Пресс, 2020. — 511 с. — ISBN: 978-5-97060-835-7. Выполняйте анализ данных с помощью R быстро и эффективно, используя свыше 275 практических рецептов, представленных в этом расширенном издании. Язык R предоставляет все, что вам нужно для работы со статистикой, но его структуру может быть сложно освоить. Эти ориентированные на задачи рецепты помогут вам сразу же...
М.: ДМК Пресс, 2017. — 250 с. — ISBN: 978-5-97060-428-1 Данная книга представляет собой практическое руководство по решению основных задач, связанных с анализом сетей, включая управление сетевыми данными, визуализацию сетей, их описание и моделирование. Все примеры, используемые в книге, сопровождаются программным кодом на языке R. Издание служит отличным справочным ресурсом для...
Київ: СамВидав, 2015. — 65 с.
Описано статистичний аналіз даних за допомогою програмного середовища R. Містить загальні рекомендації з користування пакетом. Головну увагу приділено застосуванню R до прикладних задач математичної статистики, а також розбору прикладів застосування до реальних даних.
Для студентів кваліфікаційного рівня «бакалавр» та «магістр» всіх...
21 страница
RStudio представляет собой бесплатную интегрированную среду разработки (IDE) для R. Благодаря ряду своих особенностей этот активно развивающийся программный продукт далает работу с R очень удобной. Ниже представлено краткое руководство пользователя для версии программы v0.95 (авторский перевод документации с официального сайта проекта, с изменениями и дополнениями)....
RStudio представляет собой бесплатную интегрированную среду разработки (IDE) для R. Благодаря ряду своих особенностей этот активно развивающийся программный продукт делает работу с R очень удобной. Ниже представлено краткое руководство пользователя RStudio (авторский перевод документации с официального сайта проекта, с изменениями и дополнениями).
М.: ДМК Пресс, 2015. — 496 с. — ISBN 978-5-97060-301-7 Сегодня язык R является безусловным лидером среди свободно распространяемых систем статистического анализа. Ведущие университеты мира, аналитики крупнейших компаний и исследовательских центров регулярно используют R при проведении научно-технических расчетов и создании крупных информационных проектов. Широкое преподавание...
Без издательства, 2020. — 66 с. Книга распространяется по свободной лицензии: https://creativecommons.org/licenses/by-nc-sa/4.0/deed.ru. Эта книга представляет собой небольшое пособие по использованию языка программирования и системы статистических вычислений R для анализа временных рядов. Упор сделан на решение нескольких стандартных задач, включая прогнозирование, выявление...
М.: ДМК Пресс, 2017. — 222 с.: ил. — ISBN: 978-5-97060-470-0. Визуализация данных играет важную роль на всех этапах статистического анализа – от первичного ознакомления со свойствами данных до диагностики качества построенных моделей и представления полученных результатов. Из всего разнообразия статистических программ выделяется R – интенсивно развивающаяся и свободно...
Электронная книга. — Хайдельберг – Лондон – Тольятти, 2014. — 401 с.
Пособие "Статистический анализ и визуализация данных с помощью R" адресовано преимущественно студентам, аспирантам, молодым и состоявшимся ученым, а также профессиональным аналитикам, прежде не имевшим опыта работы с R. Акцент делается, в первую очередь, на практическое применение – на то, чтобы читатель,...
Электронная книга. — Хайдельберг – Лондон – Тольятти, 2014. — 401 с.
Пособие "Статистический анализ и визуализация данных с помощью R" адресовано преимущественно студентам, аспирантам, молодым и состоявшимся учёным, а также профессиональным аналитикам, прежде не имевшим опыта работы с R. Акцент делается, в первую очередь, на практическое применение – на то, чтобы читатель,...
Электронная книга. — Хайдельберг – Лондон – Тольятти, 2014. — 401 с.
Пособие "Статистический анализ и визуализация данных с помощью R" адресовано преимущественно студентам, аспирантам, молодым и состоявшимся учёным, а также профессиональным аналитикам, прежде не имевшим опыта работы с R. Акцент делается, в первую очередь, на практическое применение – на то, чтобы читатель,...
В предлагаемых методических указаниях используется система статистических расчётов R1, прародительница которой, система S, появилась ещё в 1976 году. Несмотря на свой солидный возраст, эта система поддерживается и развивается, на официальном сайте есть репозиторий пакетов для разных целей, который регулярно пополняется исследователями-энтузиастами. Система R является свободной...
М.: МИРЭА –Российский технологический университет, 2020. — 191 с. В учебном пособии излагаются основные разделы дисциплины «Языки программирования для статистической обработки данных (R)». Учебное пособие предназначено для студентов по направлениям подготовки 09.03.03 «Прикладная информатика» и 01.03.04 «Прикладная математика».
СПб.: Питер, 2019. — 416 с. — (Библиотека программиста). — ISBN: 978-5-4461-1101-5. R является самым популярным в мире языком статистических вычислений: археологи используют его, изучая древние цивилизации, фармацевтические компании выясняют, какие лекарства наиболее безопасны и эффективны, а финансисты задействуют его для оценки рисков и удержания позиций на рынке. "Искусство...
Пер с англ. Е. Матвеев. — СПб.: Питер, 2019. — 416 с.: ил. — (Библиотека программиста). — ISBN: 978-5-4461-1101-5. R является самым популярным в мире языком статистических вычислений: археологи используют его, изучая древние цивилизации, фармацевтические компании выясняют, какие лекарства наиболее безопасны и эффективны, а финансисты задействуют его для оценки рисков и...
R Development Core Team, 2012. — 64 c. — ISBN: 300051135. Версия 2.15.0 (2012-03-30) DRAFT. Данная книга является переводом одноименно книги из комплекта технической документации, поставляемой в составе дистрибутива R, и призвана восполнить пробел в русской локализации системы R. Введение. Объекты. Оценка выражений. Функции. Объектно–ориентированное программирование. Вычисление...
Перевод и редакция А.А. Фоменко. — Москва, 2014. — 65 с. — (Cерия технической документации). Данная книга является переводом технической документации, поставляемой в составе дистрибутива R, и призвана восполнить пробел в русской локализации системы R.
Учебно-методическое пособие. — Казань: Казанский государственный университет, 2007. — 29 с. Учебно-методическое пособие предназначено для студентов естественных факультетов, изучающих курс «Теория вераятности и математическая статистика». Даются основные понятия языка R, разбираются примеры использования операторов, методы анализа и обработки, предназначенной для выполнения...
Учебно-методическое пособие. — Казань: Казанский государственный университет, 2007. — 29 с. Учебно-методическое пособие предназначено для студентов естественных факультетов, изучающих курс «Теория вероятности и математическая статистика». Даются основные понятия языка R, разбираются примеры использования операторов, методы анализа и обработки предназначенной для выполнения...
М.: МТУСИ, 2018. — 34с. — ISBN N\A. Предлагаемое издание включает в себя описание базовых возможностей языка R и его пакетных расширений, построения графиков и нахождения основных показателей описательной статистики и анализа данных. Пособие предназначено для студентов и аспирантов, изучающих и использующих статистический анализ данных.
Ярославль: Ярославский государственный университет им. П.Г. Демидова (ЯрГУ), 2013. — 11 c. Во многих исследованиях возникает задача выделения кластеров — групп похожих между собой результатов наблюдений. Современная статистика позволяет решить эту задачу без использования каких-либо содержательных предположений о природе исследуемой реальности и стоящих за результатами...
Методические указания для выполнения лабораторных работ «Работа в интерактивной учебной библиотеке SWIRL», Симферополь, 2018, 101 с. Методические указания предназначены для выполнения лабораторных работ по дисциплине «Большие данные» обучающимися всех форм обучения направления подготовки 38.03.05 Бизнес-информатика. Цель настоящих методических указаний — оказание помощи...
CП6.: Диалектика, 2018. — 578 с. — ISBN 978-5-9909446-8-8. Овладейте искусством превращения необработанных первичных данных в плодотворные догадки, гипотезы и новые знания с помощью языка R. Эта книга задумана как введение в вычислительную среду R, среду разработки RStudio и библиотеку tidyverse - коллекцию пакетов, совместное использование которых обеспечивает быстроту и...
Пер. А. Гинько. — Москва: ДМК Пресс, 2024. — 752 с. — ISBN 978-5-93700-247-1. R - безусловно лучшая среда для интерактивного анализа данных. Тем не менее язык R имеет множество особенностей, которые иногда скудно документированы. В данной книге Хэдли Уикем, один из лучших в мире гуру по R, проясняет эти неясные уголки и знакомит с современными библиотеками языка. В книге...
М.: ДМК Пресс, 2022. — 376 c. — ISBN 978-5-97060-964-4. Изучите веб-фреймворк Shiny и выведите свои навыки владения языком программирования R на новый уровень. Оставьте в прошлом статические отчеты – с Shiny вы сможете создавать полностью интерактивные веб-приложения для анализа данных. Пользователи смогут легко перемещаться между наборами данных, создавать и исследовать...
IBM Corporation, 2014. — 17 с. — ISBN: N\A. R — это не только 18-я буква английского алфавита, но и очень мощный язык программирования (и среда с открытым исходным кодом), предоставляющий отличные возможности для анализа данных и работы с графикой. В статье описывается использование мощных средств R при работе с данными, размещенными на серверах реляционных баз данных. Вы...
М.: ДМК Пресс, 2017. — 280 с. — ISBN: 978-5-97060-459-5. Всё, что регистрирует человек и созданные им машины, может считаться данными. Фиксируя новое и переводя архивы в цифровую форму, мы с каждым днём производим всё больше данных. Часть из них находится в специальных хранилищах, готовые к использованию. Но гораздо чаще случается так, что данные разбросаны по всемирной сети на...
М.: ДМК Пресс, 2017. — 280 с. Всё, что регистрирует человек и созданные им машины, может считаться данными. Фиксируя новое и переводя архивы в цифровую форму, мы с каждым днём производим всё больше данных. Часть из них находится в специальных хранилищах, готовые к использованию. Но гораздо чаще случается так, что данные разбросаны по всемирной сети на многочисленных страницах...
Статья. Опубликована в журнале Открытые системы. СУБД. — 2012. — №04 . — 3 c.
Еще недавно практически все, что связано со статистической обработкой данных, прочно ассоциировалось с пакетами SPSS и SAS, но за несколько лет в лидеры вышел язык R, и чем дальше, тем сильнее укрепляются его позиции. За последние несколько лет весьма скромно начинавший свое существование язык R...
Часть первая. Вы ещё анализируете данные по старинке, методом внимательного вглядывания в набор точек на графике, изредка подгоняя их к прямой с помощью многочисленных ‘мышекликов’? Пусть это делает за вас компьютер и R – это именно тот язык, который поможет доходчиво разъяснить ему вашу проблему. Часть вторая. Анализ «хороших» данных – это просто. А вот чтобы сделать ваши...
Печатный вариант электронного ресурса, 2002. — 15 с. Эта статья не претендует на обучение основам статистики. Автор рассчитывает на читателя, более или менее знакомого с основными понятиями теории вероятностей и математической статистики. Такой читатель может научиться делать то, о чем он читал в руководствах, при помощи R. Для чего надо обрабатывать данные? Каким образом можно...
А.Б. Шипунов, Е.М. Балдин, П.А. Волкова, А.И. Коробейников, С.А. Назарова, С.В. Петров, В.Г. Суфиянов. 26 июля 2020 г. (исправленная версия). Если вам необходима статистическая обработка данных для курсовой, диплома, статьи или диссертации; вы хотите лучше понимать результаты тех статистических методов, которые применяете; вы устали от того, что программы анализа данных не...
Вы ещё анализируете данные по старинке методом внимательного вглядывания в набор точек на графике, изредка подгоняя их к прямой с помощью многочисленных "мышекликов"? Пусть это делает за Вас компьютер, и R - это именно тот язык, который позволит разъяснить ему Вашу проблему.
WEB вариант: Текст ссылки
Монография. — Тольятти; Лондон: Б.и., 2017. — 351 с. Описана широкая совокупность методов построения статистических моделей классификации и регрессии для отклика, представленного в альтернативной, категориальной и метрической шкалах наблюдений. Подробно рассматириваются деревья решений, машины опорных векторов с различными разделяющими поверхностями, нелинейные формы...
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Учебное пособие. — Пермь: Пермский государственный национальный исследовательский университет, 2023. — 225 с. Статистический пакет R, рассматриваемый в курсе «Математические пакеты», предназначен для проведения статистической обработки данных и графического отображения полученных результатов. Пакет R можно использовать во всех учебных курсах, где есть необходимость в...
Перевод с французского В.К. Шитикова. — М.: Версия, 2016. — 250 с. Цель этого путеводителя - дать некоторое руководство к действию для любого биолога, который чувствует потребность в использовании статистики, начиная от планирования исследований, вплоть до анализа полученных результатов. Он определяет некоторую канву, позволяющую вам пройти в одиночку этот достаточно строгий и...
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