1. Preface 2. Introduction and preliminaries 3. Simple manipulations numbers and vectors 4. Objects 5. Factors 6. Arrays and matrices 7. Lists and data frames 8. Reading data from files 9. Probability distributions 10. Loops and conditional execution 11. Writing your own functions 12. Statistical models in R 13. Graphics 14. A sample session 15. Invoking R 16. The command line editor 17. Function and variable index 18. Concept index 19. References
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