Just a part list i am interested that R can but SAS can't. latent class regression R : flexmix package SAS: none
generalized regression neural nets R: grnnR SAS: none generalized PLS R: gpls SAS: none mars R: mda SAS: none On Jan 15, 2008 2:45 PM, Matthew Keller <[EMAIL PROTECTED]> wrote: > Hi all, > > I'm giving a talk in a few days to a group of psychology faculty and > grad students re the R statistical language. Most people in my dept. > use SAS or SPSS. It occurred to me that it would be nice to have a few > concrete examples of things that are fairly straightforward to do in R > but that are difficult or impossible to do in SAS or SPSS. However, it > has been so long since I have used either of those commercial products > that I am drawing a blank. I've searched the forums and web for a list > and came up with just Bob Muenchen's comparison of general procedures > and Patrick Burns' overview of the three. Neither of these give > concrete examples of statistical problems that are easily solved in R > but not the commercial packages. > > Can anyone more familiar with SAS or SPSS think of some examples of > problems that they couldn't do in one of those packages but that could > be done easily in R? Similarly, if there are any examples of the > converse I would also be interested to know. > > Best, > > Matt > > -- > Matthew C Keller > Asst. Professor of Psychology > University of Colorado at Boulder > www.matthewckeller.com > > ______________________________________________ > 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. > -- =============================== WenSui Liu Statistical Project Manager ChoicePoint Precision Marketing (http://spaces.msn.com/statcompute/blog) ______________________________________________ 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.