Rob Robinson wrote: > I wonder if those who complain about SAS as a programming environment have > discovered SAS/IML which provides a programming environment akin to Matlab > which is more than capable (at least for those problems which can be treated > with a matrix like approach). As someone who uses both SAS and R - graphical > output is so much easier in R, but for handling large 'messy' datasets SAS > wins hands down... > Cheers > Rob
My understanding is that PROC IML is disconnected from the rest of the SAS language, e.g., you can't have a loop in which PROC GENMOD is called or datasets are merged. If that's the case, IML is not very competitive in my view. Frank Harrell > > *** Want to know about Britain's birds? Try www.bto.org/birdfacts *** > > Dr Rob Robinson, Senior Population Biologist > British Trust for Ornithology, The Nunnery, Thetford, Norfolk, IP24 2PU > Ph: +44 (0)1842 750050 E: [EMAIL PROTECTED] > Fx: +44 (0)1842 750030 W: http://www.bto.org > > ==== "How can anyone be enlightened, when truth is so poorly lit" ===== > > >> -----Original Message----- >> From: [EMAIL PROTECTED] >> [mailto:[EMAIL PROTECTED] On Behalf Of Jeffrey J. Hallman >> Sent: 16 January 2008 22:38 >> To: [EMAIL PROTECTED] >> Subject: Re: [R] things that are difficult/impossible to do >> in SAS or SPSSbut simple in R >> >> SAS has no facilities for date arithmetic and no easy way to >> build it yourself. In fact, that's the biggest problem with >> SAS: it stinks as a programming environment, so it's always >> much more difficult than it should be to do something new. >> As soon as you get away from the canned procs and have to >> write something of your own, SAS falls down. >> >> I don't know enough about SPSS to comment. >> -- >> Jeff ______________________________________________ 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.