The R Book / Edition 1

by Michael J. Crawley

Overview

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) 

Product Details

ISBN-13:	9780470510247
Publisher:	Wiley
Publication date:	06/15/2007
Edition description:	Older Edition
Pages:	950
Product dimensions:	6.85(w) x 9.69(h) x 2.17(d)

About the Author

Michael Crawley is Professor at Imperial College at Silwood Park. He is a fellow of the Royal Society and author of the bestselling titles Statistics: An Introduction using R and Statistical Computing: An Introduction to Data Analysis Using S-Plus.

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Table of Contents

Preface xxiii

1 Getting Started 1

2 Essentials of the R Language 12

3 Data Input 137

4 Dataframes 159

5 Graphics 189

6 Tables 244

7 Mathematics 258

8 Classical Tests 344

9 Statistical Modelling 388

10 Regression 449

11 Analysis of Variance 498

12 Analysis of Covariance 537

13 Generalized Linear Models 557

14 Count Data 579

15 Count Data in Tables 599

16 Proportion Data 628

17 Binary Response Variables 650

18 Generalized Additive Models 666

19 Mixed-Effects Models 681

20 Non-Linear Regression 715

21 Meta-Analysis 740

22 Bayesian Statistics 752

23 Tree Models 768

24 Time Series Analysis 785

25 Multivariate Statistics 809

26 Spatial Statistics 825

27 Survival Analysis 869

28 Simulation Models 893

29 Changing the Look of Graphics 907

References and Further Reading 971

Index 977

What People are Saying About This

From the Publisher

"This heavy statistics book, by the author of The Flora of Berkshire, proved to be one of the best sellers at every conference in Europe that NHBS attended in 2007 - probably the only book on the subject you will ever need." 
– Anneli Meeder, Title Researcher & Cataloguer