全彩色， 听说是经典。
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