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.
