When I joined OD.net, I set out to write an introductory guide to R. But, just as I began to write my articles and think about the direction this tutorial should take, I found this:

Quick-R

I found this site accidentally, and I have to say that it is the best introductory R material that I have ever seen. The authors of Quick-R have already written about the topics I planned to discuss in this very series. The site is well organized and accessible.

The only thing not covered by Quick-R appears to be installation, but I already wrote about installing R on Linux, Mac, and Windows. Therefore, it appears that my series needs to be re-thought. Rather than create another introduction to R, future posts will focus on how to analyze actual data sets. I will work with the other folks here at OD.net and see if we can fake the results of a small "poll" that can be the basis of future discussions.

I'm interested to see if any of you are interested in  a specific data set (preferably available to the general public). These data sets could also be used in future articles. I will expand the nature of these articles to include information about how to I approach the analysis. As I write these articles, I will make the data available AND all of the R Syntax used to write the article.

--pluribus