**Revolutions**, and kindly contributed to R-bloggers)

If you missed last week's webinar from Bob Muenchen, "Introduction to R for SAS and SPSS users", you missed a great overview of the R Project and how it compares to commercial statistical software. Bob's slides are below, and you can download the slides and replay from the Revolution Analytics website.

Bob pointed out a couple of really useful resources from his website, r4stats.com, during the talk:

- A list of add-on modules for SAS and SPSS, and the corresponding R packages
- Several examples of equivalent code in R, SAS, and SPSS for data import/export, data management, and statistical modeling

If you're a SAS or SPSS user looking to get a start in R, you should definitely check these out. You should also grab a copy of Bob's book, "R for SAS and SPSS users".

An aside: while I was preparing this post, I noticed the following review of the book: "As a long time SAS user this book makes the task of transition to R much more palatable and appealing. It also greatly reduces the time to get up and running in R effectively." It's a helpful review, and note the reviewer: Roger Sauter from Boeing Commercial Airplanes. It reminded me of that quote (later retracted) from SAS a couple of years ago, "We have customers who build engines for aircraft. I am happy they are not using freeware when I get on a jet.". Good thing that message never got through to Boeing!

Revolution Analytics Webinars: Introduction to R for SAS and SPSS users

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