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Introduction 1. A brief introduction to R 2. Styles of data analysis 3. Statistical models 4. Introduction to formal inference 5. Regression with a single predictor 6. Multiple linear regression 7. Exploiting the linear model framework 8. Logistic regression and other generalised linear models 9. Multi-level models, time series and repeated measures 10. Tree-based classification and regression 11. Multivariate data exploration and discrimination 12. The R system - additional topics 13. Epilogue - models Appendix: S-plus differences Bibliography Acknowledgements Index.