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### Synopses & Reviews

#### Publisher Comments

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.

#### Synopsis

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.

### 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*.

### Table of Contents

*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*

### Product Details

- ISBN:
- 9780470510247
- Binding:
- Hardcover
- Publication date:
- 06/01/2007
- Publisher:
- John Wiley & Sons
- Language:
- English
- Pages:
- 942
- Height:
- 244 mm
- Width:
- 168 mm
- Thickness:
- 15 mm
- Grade Range:
- General/trade
- Number of Units:
- 1
- Copyright Year:
- 2007
- UPC Code:
- 2800470510249
- Author:
- Author:
- Subject:
- Statistical So
- Subject:
- Data processing
- Subject:
- ftware / R
- Subject:
- Computational & Graphical Statistics
- Subject:
- R (Computer program language)
- Subject:
- Mathematical statistics
- Subject:
- Mathematical statistics -- Data processing.
- Subject:
- Mathematics | Probability and Statistics
- Subject:
- Statistical Software / R