Welcome to r4stats.com. This site’s mission is twofold: to analyze the world of data science, and to help people learn to use R. R is free, open source, software for data science that is similar to the “big three” commercial packages: SAS, SPSS, and Stata.
In the menus under Articles you’ll find a set of detailed reviews of all the point-and-click front ends that make R easy to use (most make it look very similar to the SPSS user interface). A comparison of them all is here.
There you’ll also find a detailed analysis of data science software popularity; a list of add-on products for SAS and SPSS as well as the R packages that do similar things; the many ways to call R from other software; and a few other articles.
Shorter commentary is listed under Blog. An extensive set of programs showing how to do the same tasks in R, SAS, SPSS and Stata are listed under Examples. You’ll find information about my books, R for SAS and SPSS Users and R for Stata Users under Books. Information about my book with Bob Hoyt et al, Introduction to Biomedical Data Science, is on a different web site (the link will take you there). My reviews of other books is listed under Miscellaneous.
Finally, under Workshops, you can learn about the training I have offered in partnership with the American Statistical Association, DataCamp.com, RStudio, New Horizons Computer Learning Centers, and Xerox Learning Services.
I welcome comments or suggestions regarding this site or data science in general, so feel free to contact me at firstname.lastname@example.org or on Twitter, @BobMuenchen.