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. Meta-analysis -- 22. Bayesian statistics -- 23. Tree models -- 24. Time series analysis -- 25. Multivariate statistics -- 26. Spatial statistics -- 27. Survival analysis -- 28. Simulation models -- 29. Changing the look of graphics.
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