From: Frank E Harrell Jr <f.harrell_at_vanderbilt.edu>

Date: Tue, 15 Jan 2008 17:04:18 -0600

Date: Tue, 15 Jan 2008 17:04:18 -0600

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
**>
*

Here is a simple thing that is easy to do in R or S-Plus but difficult in SAS or SPSS:

Compute the number of subjects having age below the mean age

sum(age < mean(age))

Here is something not quite so simple that is very difficult to do in SPSS or SAS. Show descriptive statistics for every variable in a data frame that is numeric and has at least 10 unique values.

v <- sapply(mydata, function(x) is.numeric(x) && length(unique(x)) >= 10) summary(mydata[v])

-- Frank E Harrell Jr Professor and Chair School of Medicine Department of Biostatistics Vanderbilt University ______________________________________________ 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 - 23:08:02 GMT

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