[R] things that are difficult/impossible to do in SAS or SPSS but simple in R
roland.rproject at gmail.com
Tue Jan 15 22:54:32 CET 2008
something else came to my mind:
why don't you post something similar to the newsgroups:
R-help is obviously biased and maybe there are things "we" (the R
community) are just missing. Maybe there are things possible in SPSS or
SAS which R people are not aware of?
I would be really curious what SPSS or SAS users could give as an
argument why they prefer their software.
All the best,
Matthew Keller 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.
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