Kel Lam <lamk...@gmail.com> wrote: > My institute has been heavily dependent on SAS for the past while, and > SAS is starting to charge us a very deep amount for license renewal. > Since we are a non-profit organization that is definitely not > sustainable. The team is brainstorming possibility of switching to R, > at least gradually. I am talking about the entire institute with > considerable number of analysts using SAS their entire career. > Theres a handful of us using R regularly. What kind of problems and > challenges have you faced? Any insight is much appreciated. Thank > you very much! > > Kelvin
Background: I used SAS intensively for about 15 yr, I used Systat for about 5 yr, and now I use R almost exclusively. The group I work with has changed from mostly SAS to mostly R over the years. My advice is, think about training. Because SAS and R have such different models of how statistical programming is structured, it's not trivial to switch from one to the other. A lot will depend on what sort of work you are doing. The main problem we've experienced is that R does not easily handle very large datasets on standard PC hardware. We still do some processing with SAS in those cases, though we've been able to reduce the number of SAS licenses we need. -- Mike Prager, NOAA, Beaufort, NC * Opinions expressed are personal and not represented otherwise. * Any use of tradenames does not constitute a NOAA endorsement. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
