# the r book

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## The R Book

**Author :**Michael J. Crawley

**ISBN :**9781118448960

**Genre :**Mathematics

**File Size :**22. 41 MB

**Format :**PDF, ePub, Docs

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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 implement such large data sets. R has become an essential tool for understanding and carrying out research. This edition: Features full colour text and extensive graphics throughout. Introduces a clear structure with numbered section headings to help readers locate information more efficiently. Looks at the evolution of R over the past five years. Features a new chapter on Bayesian Analysis and Meta-Analysis. Presents a fully revised and updated bibliography and reference section. Is supported by an accompanying website allowing examples from the text to be run by the user. Praise for the first edition: ‘…if you are an R user or wannabe R user, this text is the one that should be on your shelf. The breadth of topics covered is unsurpassed when it comes to texts on data analysis in R.’ (The American Statistician, August 2008) ‘The High-level software language of R is setting standards in quantitative analysis. And now anybody can get to grips with it thanks to The R Book…’ (Professional Pensions, July 2007)

## The R Book

**Author :**CTI Reviews

**ISBN :**9781467248112

**Genre :**Education

**File Size :**58. 11 MB

**Format :**PDF, Docs

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Facts101 is your complete guide to The R Book. In this book, you will learn topics such as as those in your book plus much more. With key features such as key terms, people and places, Facts101 gives you all the information you need to prepare for your next exam. Our practice tests are specific to the textbook and we have designed tools to make the most of your limited study time.

## The R Book

**Author :**Jillian Cutting

**ISBN :**9768145455

**Genre :**Alphabet

**File Size :**73. 70 MB

**Format :**PDF

**Download :**670

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Series of books which introduce each letter of the alphabet and a range objects starting with that letter. Accompanied by 26 alphabet flash cards to be used in conjunction with the books.

## The R Student Companion

**Author :**Brian Dennis

**ISBN :**9781439875407

**Genre :**Mathematics

**File Size :**78. 18 MB

**Format :**PDF, Kindle

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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 assumes the reader has just some high school algebra and has no computer programming background. The author presents applications drawn from all sciences and social sciences and includes the most often used features of R in an appendix. In addition, each chapter provides a set of computational challenges: exercises in R calculations that are designed to be performed alone or in groups. Several of the chapters explore algebra concepts that are highly useful in scientific applications, such as quadratic equations, systems of linear equations, trigonometric functions, and exponential functions. Each chapter provides an instructional review of the algebra concept, followed by a hands-on guide to performing calculations and graphing in R. R is intuitive, even fun. Fantastic, publication-quality graphs of data, equations, or both can be produced with little effort. By integrating mathematical computation and scientific illustration early in a student’s development, R use can enhance one's understanding of even the most difficult scientific concepts. While R has gained a strong reputation as a package for statistical analysis, The R Student Companion approaches R more completely as a comprehensive tool for scientific computing and graphing.

## The R C Car Bible

**Author :**Robert H. Schleicher

**ISBN :**161060539X

**Genre :**

**File Size :**41. 13 MB

**Format :**PDF, ePub, Mobi

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## 25 Recipes For Getting Started With R

**Author :**Paul Teetor

**ISBN :**9781449303860

**Genre :**Computers

**File Size :**70. 13 MB

**Format :**PDF, ePub

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R is a powerful tool for statistics and graphics, but getting started with this language can be frustrating. 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 use R for basic statistics, graphics, and regression. You'll find recipes on reading data files, creating data frames, computing basic statistics, testing means and correlations, creating a scatter plot, performing simple linear regression, and many more. These solutions were selected from O'Reilly's R Cookbook, which contains more than 200 recipes for R that you'll find useful once you move beyond the basics.

## Statistical Computing With R

**Author :**Maria L. Rizzo

**ISBN :**9781584885450

**Genre :**Mathematics

**File Size :**25. 36 MB

**Format :**PDF

**Download :**601

**Read :**702

Computational statistics and statistical computing are two areas that employ computational, graphical, and numerical approaches to solve statistical problems, making the versatile R language an ideal computing environment for these fields. One of the first books on these topics to feature R, Statistical Computing with R covers the traditional core material of computational statistics, with an emphasis on using the R language via an examples-based approach. Suitable for an introductory course in computational statistics or for self-study, it includes R code for all examples and R notes to help explain the R programming concepts. After an overview of computational statistics and an introduction to the R computing environment, the book reviews some basic concepts in probability and classical statistical inference. Each subsequent chapter explores a specific topic in computational statistics. These chapters cover the simulation of random variables from probability distributions, the visualization of multivariate data, Monte Carlo integration and variance reduction methods, Monte Carlo methods in inference, bootstrap and jackknife, permutation tests, Markov chain Monte Carlo (MCMC) methods, and density estimation. The final chapter presents a selection of examples that illustrate the application of numerical methods using R functions. Focusing on implementation rather than theory, this text serves as a balanced, accessible introduction to computational statistics and statistical computing.

## The R Software

**Author :**Pierre Lafaye de Micheaux

**ISBN :**9781461490203

**Genre :**Computers

**File Size :**68. 18 MB

**Format :**PDF, Docs

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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 textbook on R for beginners as well as more advanced users, working on Windows, MacOs or Linux OSes. The first part of the book deals with the heart of the R language and its fundamental concepts, including data organization, import and export, various manipulations, documentation, plots, programming and maintenance. The last chapter in this part deals with oriented object programming as well as interfacing R with C/C++ or Fortran, and contains a section on debugging techniques. This is followed by the second part of the book, which provides detailed explanations on how to perform many standard statistical analyses, mainly in the Biostatistics field. Topics from mathematical and statistical settings that are included are matrix operations, integration, optimization, descriptive statistics, simulations, confidence intervals and hypothesis testing, simple and multiple linear regression, and analysis of variance. Each statistical chapter in the second part relies on one or more real biomedical data sets, kindly made available by the Bordeaux School of Public Health (Institut de Santé Publique, d'Épidémiologie et de Développement - ISPED) and described at the beginning of the book. Each chapter ends with an assessment section: memorandum of most important terms, followed by a section of theoretical exercises (to be done on paper), which can be used as questions for a test. Moreover, worksheets enable the reader to check his new abilities in R. Solutions to all exercises and worksheets are included in this book.

## The R Primer Second Edition

**Author :**Claus Thorn Ekstrom

**ISBN :**9781351803731

**Genre :**Mathematics

**File Size :**30. 34 MB

**Format :**PDF, Docs

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Praise for the first edition: "This book provides a good introduction to R, using a clear layout and detailed, reproducible examples. An ideal tool for any new R user. ... A wide range of topics are covered, making the book suitable for a variety of readers, from undergraduate students to professionals new to R ... an extremely helpful introduction to a very useful statistical package." -Claire Keeble, Journal of Applied Statistics, 2012 ? 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 Primer contains numerous examples that illustrate a specific situation, topic, or problem, including data importing, data management, classical statistical analyses, and high-quality graphical production. Each example is self-contained and includes R code that can be run exactly as shown, enabling results from the book to be replicated. New to the Second Edition: Completely revised and updated with suggestions for using new and improved R packages Expanded with over 100 more pages New solutions for covering areas from web scraping over data wrangling to waffle plots and hanging rootograms. Additional intermediate and advanced topics in statistical data analysis including non-parametric statistics, random forests, penalized regression and curve smoothing. Claus Thorn Ekstrøm is Professor at the Section of Biostatistics, University of Copenhagen where he teaches courses on statistics and R for beginners and advanced users. Professor Ekstrøm’s primary research interests lie within statistical genetics, genetic epidemiology, and bioinformatics, in particular genetic association studies, image analysis of microarray scans, and integrated analysis of gene expression and metabolic profile data. ? ? ?

## Introductory Statistics With R

**Author :**Peter Dalgaard

**ISBN :**0387790535

**Genre :**Mathematics

**File Size :**54. 81 MB

**Format :**PDF

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This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. Brief sections introduce the statistical methods before they are used. A supplementary R package can be downloaded and contains the data sets. All examples are directly runnable and all graphics in the text are generated from the examples. The statistical methodology covered includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one-and two-way analysis of variance, regression analysis, analysis of tabular data, and sample size calculations. In addition, the last four chapters contain introductions to multiple linear regression analysis, linear models in general, logistic regression, and survival analysis.