Cover image for The R book
Title:
The R book
Personal Author:
Edition:
Second edition
Publication Information:
Chichester, West Sussex : Wiley, A John Wiley & Sons, Ltd., Publication, 2013
Physical Description:
xxiv, 1051 pages : illustrations (some color) ; 26 cm.
ISBN:
9780470973929
Abstract:
"This edition introduces the advantages of the R environment, in a user-friendly format, to beginners and intermediate users in a range of disciplines, from science and engineering to medicine and economics"--provided by publisher

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30000010335774 QA276.45.R3 C73 2013 Open Access Book Book
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Summary

Summary

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)


Author Notes

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.


Reviews 1

Choice Review

Crawley (Imperial College London) offers readers a 950-page comprehensive reference manual for what is perhaps becoming the most powerful and flexible statistical software environment, the R language. The R Book is aimed at undergraduates, postgraduates, and professionals in science, engineering, and medicine, and is also ideal for students and professionals in statistics and related fields. The book assumes no background in statistics or computing and introduces the advantages of the R environment, detailing its applications in a wide range of disciplines. One weakness of the book, however, is that many of the graphs were apparently color-coded and the text frequently refers to the colors, but the book was printed in black and white. Primarily for professionals in statistics and related fields. Summing Up: Recommended. Upper-division undergraduates through professionals. C. Tappert Pace University


Table of Contents

Prefacep. vii
1 Getting Startedp. 1
2 Essentials of the R Languagep. 9
3 Data Inputp. 97
4 Dataframesp. 107
5 Graphicsp. 135
6 Tablesp. 183
7 Mathematicsp. 195
8 Classical Testsp. 279
9 Statistical Modellingp. 323
10 Regressionp. 387
11 Analysis of Variancep. 449
12 Analysis of Covariancep. 489
13 Generalized Linear Modelsp. 511
14 Count Datap. 527
15 Count Data in Tablesp. 549
16 Proportion Datap. 569
17 Binary Response Variablesp. 593
18 Generalized Additive Modelsp. 611
19 Mixed-Effects Modelsp. 627
20 Non-linear Regressionp. 661
21 Meta-analysis xxx
22 Bayesian statistics xxx
23 Tree Modelsp. 685
24 Time Series Analysisp. 701
25 Multivariate Statisticsp. 731
26 Spatial Statisticsp. 749
27 Survival Analysisp. 787
28 Simulation Modelsp. 811
29 Changing the Look of Graphicsp. 827
References and Further Readingp. 873
Indexp. 877s