R Book (eBook)

Michael J. Crawley (Autor)

eBook Download: PDF

2012 | 2. Auflage
1080 Seiten
Wiley (Verlag)
978-1-118-44894-6 (ISBN)

Infos

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)

Autor

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.

Inhalt

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

Rezensionen

"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)

Produkt-Details

• Erscheint lt. Verlag: 17.10.2012
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Mathematik ► Computerprogramme / Computeralgebra
• Themenwelt: Mathematik / Informatik ► Mathematik ► Statistik
• Themenwelt: Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
• Themenwelt: Technik
• Schlagworte: R (Programm) • Statistical Software / R • Statistics • Statistik • Statistiksoftware / R
• ISBN-10: 1-118-44894-4 / 1118448944
• ISBN-13: 978-1-118-44894-6 / 9781118448946