The R Book
John Wiley & Sons Inc (Hersteller)
978-0-470-51507-5 (ISBN)
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The high-level language of R is recognized as one of the most powerful and flexible statistical software environments, and is rapidly becoming the standard setting for quantitative analysis, statistics and graphics. R provides free access to unrivalled coverage and cutting-edge applications, enabling the user to apply numerous statistical methods ranging from simple regression to time series or multivariate analysis. Building on the success of the author’s bestselling Statistics: An Introduction using R, The R Book is packed with worked examples, providing an all inclusive guide to R, ideal for novice and more accomplished users alike. 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.
Provides the first comprehensive reference manual for the R language, including practical guidance and full coverage of the graphics facilities.
Introduces all the statistical models covered by R, beginning with simple classical tests such as chi-square and t-test.
Proceeds to examine more advance methods, from regression and analysis of variance, through to generalized linear models, generalized mixed models, time series, spatial statistics, multivariate statistics and much more.
The R Book is aimed at undergraduates, postgraduates and professionals in science, engineering and medicine. It is also ideal for students and professionals in statistics, economics, geography and the social sciences.
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.
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 Tree Models 685
22 Time Series Analysis 701
23 Multivariate Statistics 731
24 Spatial Statistics 749
25 Survival Analysis 787
26 Simulation Models 811
27 Changing the Look of Graphics 827
References and Further Reading 873
Index 877
| Erscheint lt. Verlag | 14.9.2007 |
|---|---|
| Verlagsort | New York |
| Sprache | englisch |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Computerprogramme / Computeralgebra |
| ISBN-10 | 0-470-51507-4 / 0470515074 |
| ISBN-13 | 978-0-470-51507-5 / 9780470515075 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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