On 01/01/06 15:36, Kjetil Halvorsen wrote: > Readers of this list might be interested in the following commenta about R. > > > In a recent report, by Michael N. Mitchell > http://www.ats.ucla.edu/stat/technicalreports/ > says about R: ...
Just a warning to others. If you go to the site, it asks for comments, but if you then ask for the LaTeX style file that is required for sending comments, you get a message saying that the service does not deal with those outside of UCLA. Of course I think this is wrong wrong wrong. It makes some assumptions about "statisticians" being the ones who use statistics programs. But there are some researchers who like to think of themselves as empirical scientists and who do not have the kinds of humongous grants required to hire people to do everything except write grant proposals. People in these fields often even do their own data analysis! Moreover, unlike statisticians (who consult with a great variety of researchers), they usually do the same few types of analysis over and over, so the learning time becomes relatively small, and the other advantages of R become more compelling. But I will try eventually to say this as a comment on the paper itself. Jon -- Jonathan Baron, Professor of Psychology, University of Pennsylvania Home page: http://www.sas.upenn.edu/~baron ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html