Slides and replay for "Introduction to R for SAS and SPSS users"

[This article was first published on Revolutions, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

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,, during the talk:

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

To leave a comment for the author, please follow the link and comment on their blog: Revolutions. offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)