*Preface.*
1 Getting Started.

2 Essentials of the R Language.

3 Data Input.

4 Dataframes.

5 Graphics.

6 Tables.

7 Mathematics.

8 Classical Tests.

9 Statistical Modelling.

10 Regression.

11 Analysis of Variance.

12 Analysis of Covariance.

13 Generalized Linear Models.

14 Count Data.

15 Count Data in Tables.

16 Proportion Data.

17 Binary Response Variables.

18 Generalized Additive Models.

19 Mixed-Effects Models.

20 Non-linear Regression.

21 Tree Models.

22 Time Series Analysis.

23 Multivariate Statistics.

24 Spatial Statistics.

25 Survival Analysis.

26 Simulation Models.

27 Changing the look of graphics.

*References and Further Reading.*

*Index.*