Table of Contents

• Chapter 1: Getting R 11.1 Downloading R
• Chapter 2: The R Environment
• Chapter 3: R Packages
• Chapter 4: Basics of R
• Chapter 5: Advanced Data Structures
• Chapter 6: Reading Data into R
• Chapter 7: Statistical Graphics
• Chapter 8: Writing R Functions
• Chapter 9: Control Statements
• Chapter 10: Loops, the Un-R Way to Iterate
• Chapter 11: Group Manipulation
• Chapter 12: Data Reshaping
• Chapter 13: Manipulating Strings
• Chapter 14: Probability Distributions
• Chapter 15: Basic Statistics
• Chapter 16: Linear Models
• Chapter 17: Generalized Linear Models
• Chapter 18: Model Diagnostics
• Chapter 19: Regularization and Shrinkage
• Chapter 20: Nonlinear Models
• Chapter 21: Time Series and Autocorrelation
• Chapter 22: Clustering
• Chapter 23: Reproducibility, Reports and Slide Shows with knitr
• Chapter 24: Building R Packages
• Appendix A: Real-Life Resources 
• A.1 Meetups
• A.2 Stackoverflow
• A.3 Twitter
• A.4 Conferences
• A.5 Web Sites
• A.6 Documents
• A.7 Books
• A.8 Conclusion
• Appendix B: Glossary

About the Author

Jared P. Lander is the owner of Lander Analytics, a statistical consulting firm based in New York City, the organizer of the New York Open Statistical Programming Meetup and an adjunct professor of statistics at Columbia University. He is also a tour guide for Scott’s Pizza Tours and an advisor to Brewla Bars, a gourmet ice pop startup. With an M.A. from Columbia University in statistics and a B.A. from Muhlenberg College in mathematics, he has experience in both academic research and industry. His work for both large and small organizations spans politics, tech startups, fund raising, music, finance, healthcare, and humanitarian relief efforts. He specializes in data management, multilevel models, machine learning, generalized linear models, visualization, data management, and statistical computing.