***Update*** Maxwell Joseph 20+ R tutorials to YouTube for a new undergraduate course in Ecology and Evolutionary Biology at CU developed by Andrew Martin and Brett Melbourne, which are a nice place to start…***End Update***
The other day, a colleague/friend sent me a message asking how to go about learning R and specifically asked about online resources to help her lessen the learning curve. Since I knew she is a SAS user, I had some specific ideas of where I would point her, but I though I’d also post the guts of my response here…
So you’re interested in converting to R? That’s great and you won’t regret it…. As a former SAS user (and a general “new” R user), I usually suggest the following:
Many people recommend the R in Nutshell book from O’Reilly. It’s good, but it’s mostly a rehashing of available online help files: http://oreilly.com/catalog/9780596801717
Perhaps the best compilation of online video/tutorial type resources for learning R is this collection compiled by Jeromy Anglim: http://jeromyanglim.blogspot.com/2010/05/videos-on-data-analysis-with-r.html
As a former SAS user, I also suggest you start with Muenchen’s book from Springer: http://www.springer.com/statistics/computational+statistics/book/978-1-4614-0684-6 He has an accompanying website with examples too that’s pretty useful: http://r4stats.com/examples/
It’s not to hard to find preview copies of the above mentioned texts online, but if you find them useful you really should support the authors and purchase a copy. As you progress, you’ll quickly outgrow any single book and then I suggest using the true power of R, the available online community and resources. Here are a few suggestions:
- The R Project homepage. It really should be bookmarked. This is the place to come for official news from the R Project, plus links to documentation, mailing lists, and the official R FAQs
- StackOverflow. Have a question about R? Search for questions tagged with “r” and you’ll probably find an answer. If not, post your question and I guarantee you’ll have an answer before you know it….
- R bloggers. This is the first “news” feed I check every morning. It’s my go to for news, tips and articles related to R and is basically a blog aggregator for posts from dozens of R bloggers, including the awesome work form the team at Revolution Analytics
- #rstats on Twitter. This is pretty self explanatory (in 140 characters, no less). Just search for the #rstats hastag
- If you find yourself still looking and desire some offline reading, the R Project has an extensive list of R books, as does the R Programming Language tag on Amazon.com
Hope this helps!