From: Roland Rau <roland.rproject_at_gmail.com>

Date: Tue, 15 Jan 2008 16:54:32 -0500

R-help_at_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. Received on Tue 15 Jan 2008 - 21:57:17 GMT

Date: Tue, 15 Jan 2008 16:54:32 -0500

Hi Matthew,

something else came to my mind:

why don't you post something similar to the newsgroups:
comp.soft-sys.stat.spss

comp.soft-sys.sas

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,

Roland

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.
**>
**> Best,
**>
**> Matt
**>
*

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