Hi Neela,
Just my �2 regarding the R vs. SAS issue. I started to use SAS since my undergraduate studies in 1993, and I am now a migrating to R user, and I hope not to ever go back to SAS.
My comments are:
- SAS is huge it takes over 1GB of space of my PC while R takes just over 100 MB, this days that may not be an important issue, but I'd consider this in your analysis.
- One of the things that bother me the most about SAS was their "system update" protocol, it was a mess (at least last time I tried downloading the updates, like 2 years ago). R has a great community and I love the update.packages() function.
- Regarding the large datasets discussion, I've had some experience working with mixed models on large dataset, and both programs end up taking a lot of time or crashing.
- The learning curve for a non-stats non-programmer guy was steeper for SAS, but again SAS was my first. However, R still does not come so naturally to me when I am coding, I have to look at my old codes, manuals and google. If I ever end up teaching applied stats I'll teach using R.
Sincerely,
Jose ... migrating to R ... and one of this days to linux
-- Jose A. Hernandez Ph.D. Candidate Precision Agriculture Center
Department of Soil, Water, and Climate University of Minnesota 1991 Upper Buford Circle St. Paul, MN 55108
Ph. (612) 625-0445, Fax. (612) 625-2208
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