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Index
Copyright
Brief Table of Contents
Table of Contents
Praise for the First Edition
Preface
Acknowledgments
About this Book
About the Cover Illustration
Part 1. Getting started
Chapter 1. Introduction to R
Chapter 2. Creating a dataset
Chapter 3. Getting started with graphs
Chapter 4. Basic data management
Chapter 5. Advanced data management
Part 2. Basic methods
Chapter 6. Basic graphs
Chapter 7. Basic statistics
Part 3. Intermediate methods
Chapter 8. Regression
Chapter 9. Analysis of variance
Chapter 10. Power analysis
Chapter 11. Intermediate graphs
Chapter 12. Resampling statistics and bootstrapping
Part 4. Advanced methods
Chapter 13. Generalized linear models
Chapter 14. Principal components and factor analysis
Chapter 15. Time series
Chapter 16. Cluster analysis
Chapter 17. Classification
Chapter 18. Advanced methods for missing data
Part 5. Expanding your skills
Chapter 19. Advanced graphics with ggplot2
Chapter 20. Advanced programming
Chapter 21. Creating a package
Chapter 22. Creating dynamic reports
Afterword Into the rabbit hole
Appendix A. Graphical user interfaces
Appendix B. Customizing the startup environment
Appendix C. Exporting data from R
Appendix D. Matrix algebra in R
Appendix E. Packages used in this book
Appendix F. Working with large datasets
Appendix G. Updating an R installation
References
Bonus Chapter 23. Advanced graphics with the lattice package
Index
List of Figures
List of Tables
List of Listings
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