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

Preface