1. Introduction to R and Rstudio

2. Some specific R principles

3. Installing, loading, updating packages

4. Vignettes and reports

5. Loading and saving datasets

6. Descriptive statistics

7. Basic visualisation

8. Data management

9. Matrix indexation and recoding

10. R Objects

11. S3 and S4 classes

12. Bivariate statistics

13. Multivariate statistics

14. Simple Linear Regression

15. Multiple Linear Regression and interactions

16. Multilevel Linear Model : an outlook