R in Action, Second Edition

Afterword Into the rabbit hole

We’ve covered a broad range of topics in the book, including major ones like the R development environment, data management, traditional statistical models, and statistical graphics. We’ve also examined hidden gems like resampling statistics, missing values imputation, and interactive graphics. The great (or perhaps infuriating) thing about R is that there’s always more to learn.

R is a large, robust, and evolving statistical platform and programming language. With so many new packages, frequent updates, and new directions, how can you stay current? Happily, many websites support this active community and provide coverage of platform and package changes, new methodologies, and a wealth of tutorials. I’ve listed ...