1 A brief introduction to R

2 Styles of data analysis

3 Statistical models

4 An introduction to formal inference

5 Regression with a single predictor

6 Multiple linear regression

7 Exploiting the linear model framework

8 Generalized linear models and survival analysis

9 Time series models

10 Multi-level models and repeated measures

11 Tree-based classification and regression

12 Multivariate data exploration and discrimination

13 Regression on principal component or discriminant scores

14 The R system – additional topics