The R Book
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The R Book

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Description

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)
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Product details

  • Hardback | 1076 pages
  • 197 x 252 x 56mm | 2,378g
  • Wiley-Blackwell
  • Hoboken, United States
  • English
  • 2nd Edition
  • 0470973927
  • 9780470973929
  • 71,178

Back cover copy

Hugely successful and popular text presenting an extensiveand comprehensive guide for all R users

The R language is recognized as one of the most powerful andflexible statistical software packages, enabling users to applymany statistical techniques that would be impossible without suchsoftware to help implement such large data sets. R has become anessential tool for understanding and carrying out research.

This edition:

Features full colour text and extensive graphicsthroughout.Introduces a clear structure with numbered section headings tohelp readers locate information more efficiently.Looks at the evolution of R over the past five years.Features a new chapter on Bayesian Analysis andMeta-Analysis.Presents a fully revised and updated bibliography and referencesection.Is supported by an accompanying website allowing examples fromthe text to be run by the user.

Praise for the first edition:

'...if you are an R user or wannabe R user, this textis the one that should be on your shelf. The breadth oftopics covered is unsurpassed when it comes to texts on dataanalysis in R.' (The American Statistician, August2008)

'The High-level software language of R is setting standardsin quantitative analysis. And now anybody can get to grips with itthanks to The R Book...' (Professional Pensions, July 2007)
show more

Table of contents

Preface vii


1 Getting Started 1


2 Essentials of the R Language 9


3 Data Input 97


4 Dataframes 107


5 Graphics 135


6 Tables 183


7 Mathematics 195


8 Classical Tests 279


9 Statistical Modelling 323


10 Regression 387


11 Analysis of Variance 449


12 Analysis of Covariance 489


13 Generalized Linear Models 511


14 Count Data 527


15 Count Data in Tables 549


16 Proportion Data 569


17 Binary Response Variables 593


18 Generalized Additive Models 611


19 Mixed-Effects Models 627


20 Non-linear Regression 661


21 Meta-analysis xxx


22 Bayesian statistics xxx


23 Tree Models 685


24 Time Series Analysis 701


25 Multivariate Statistics 731


26 Spatial Statistics 749


27 Survival Analysis 787


28 Simulation Models 811


29 Changing the Look of Graphics 827


References and Further Reading 873


Index 877s
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Review Text

"I consider this a must-read book for its content, writing, and organization." (Computing Reviews, 7 August 2014)
"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." (Zentralblatt Math, 1 August 2013)
"Overall, The R Book (Second Edition) is a great guide to the vastly powerful and constantly evolving software that is R. It is very close to a complete reference-the coverage is excellent. For most users of R, having this book as guide will make life with R much easier, and learning to master it much faster." (Nekkidblogger.com, 30 April 2013) "It is a classic that does not just sell to students during term time but has a much wider appeal ... This edition will sell really well on publication." (The Bookseller, 16 December 2011)
show more

Review quote

I consider this a must-read book for its content, writing, and organization." (Computing Reviews, 7 August 2014) 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. (Zentralblatt Math, 1 August 2013) Overall, The R Book (Second Edition) is a great guide to the vastly powerful and constantly evolving software that is R. It is very close to a complete reference-the coverage is excellent. For most users of R, having this book as guide will make life with R much easier, and learning to master it much faster. (Nekkidblogger.com, 30 April 2013) "It is a classic that does not just sell to students during term time but has a much wider appeal ... This edition will sell really well on publication." (The Bookseller, 16 December 2011)
show more

About Michael J. Crawley

Michael J. Crawley FRS, Department of Biological Sciences, Imperial College of Science, Technology and Medicine
Author of three bestselling Wiley statistics titles and five life science books.
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Rating details

99 ratings
4.13 out of 5 stars
5 41% (41)
4 39% (39)
3 13% (13)
2 3% (3)
1 3% (3)
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