The R Book
John Wiley & Sons Inc (Verlag)
978-0-470-97392-9 (ISBN)
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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)
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.
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
| Erscheint lt. Verlag | 26.12.2012 |
|---|---|
| Verlagsort | New York |
| Sprache | englisch |
| Maße | 198 x 252 mm |
| Gewicht | 2268 g |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Computerprogramme / Computeralgebra |
| Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik | |
| ISBN-10 | 0-470-97392-7 / 0470973927 |
| ISBN-13 | 978-0-470-97392-9 / 9780470973929 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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