Over on R4Stats, I replied to Bob Muenchen’s article, Forecast Update: Will 2014 be the Beginning of the End for SAS and SPSS?
Personally, I think SAS is a wonderful application, with my SAS experience starting in SAS programming back in 1989 (mainframes, along with Fortran), SAS Enterprise Guide (I wrote SAS for Dummies, the first two editions with Chris Hemedinger) and SAS Enterprise Miner. Additionally, I have used JMP, SAS Data Integration Studio, SAS Forecast Studio and several other SAS tools.
On the other hand, I have used R since 2004 on several projects and S (precursor to R) since the 90’s in biopharm. I find R truer to being a modern programming language while SAS is truer to being an analyst programming language. Perhaps I am biased? But, the way I think of attacking problems with data and my typical need to massage the data in a wide range of ways, SAS is simply superior in my opinion. The flow of the language, the ease of readability and the powerful DATA step are still my favorite programming world. However, if I am seeking most any statistical test under the sun, R is clearly superior.
Unfortunately, R doesn’t have a clear, de-facto GUI (graphical user interface) that is well-designed