Data Analysis and Graphics Using R : An Example-based Approach (Hardcover)

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.