Hi, You are absolutely correct about 32/64 and it appears to be a severe penalty. But I think 32 to 32(win/unix) does not incur the penalty. There are even more issues between mainframe and unix/windows. The 32 to 64 is a big hit when querying data dictionaries that have a mixture of 32/64 bit SAS objects.
As a side note, I could reload the R workspace between batch submissions to maintain consistent environments. I do support quite a few statisticians and I try to get them to think more in terms of R especially those that use IML, but unlike Frank I feel there are several areas where SAS is the more logical solution. I think SAS(9.22) is a little ahead of R in SVG graphics(the future) and graphic editors and unlike Frank I don't think R and LaTex is more powerful than ods/tagsets and SAS reporting/graph procedures. Imbeding graphic objects inside proc report is powerful, see http://homepage.mac.com/magdelina/.Public/met_may_103.rtf And I know SAS allows some merging of cells in proc report so arbitrary objects, like graphs can be merged into proc report. The pharma industry externals tend to be MS-Word and Excel, although final FDA documents are usually pdf. So whatever I do I have to make my final product look good in word. This can be a real challenge because of words faulty import engines. I would have preferred postscript where R would be a real contender. I also remember that SAS won a recent graphics award and I think is was competing against R. I don't have the link and I hope I am correct. see for some SAS graphics http://robslink.com/SAS/Home.htm The real strength of R is in the flexibilty of its statistical functions. Sometimes SAS makes the wrong or illogical decisions with its canned routines. -- View this message in context: http://n4.nabble.com/SAS-and-R-on-multiple-operating-systems-tp1752043p1752294.html Sent from the R help mailing list archive at Nabble.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.
