1.3 R Resources

There are many high quality resources for learning R available online. This is a selection of what I find most useful.

1. CRAN Task Views: These are curated lists of R packages for various purposes, ranging from econometrics to mathematics, finance, imaging, social sciences, time series, spatial analyses and more.
2. RStudio Cheatsheets: These are high-quality cheatsheets about different aspects of the R analytic pipeline.
3. StackOverflow #r: The r tag on StackOverflow is the place to find answers about R
4. Twitter #rstats: The who’s who of R hang out at the #rstats hashtag, and questions can get answered very quickly. Also a way to find out what new packages are coming up
5. R-Bloggers: A blog aggregator which collects a few hundred R-related blogs in one place (including mine, in the interests of disclosure)
6. RSeek: When one realizes that R is just a letter in the alphabet, Google searches can be a bit difficult. RSeek has created a custom search targeted at R-related topics, sites and packages on the web.