R as is just great for me. I also use Stata 9 which is also a great environment. I'm not a statistician. I will be in the market for a new computer in January, and our data sets are getting very large-- microarrays. Certainly, R has much more development via Bioconductor in this area. But I think it will be interesting to compare performance on something like the pending 8 cpu Mac Pro with the multiple CPU 64 bit version of Stata (only a grant can afford that), with R. So here's my question. Is R already capable of taking advantage of more than one core?
-- David C. Airey, Ph.D. Research Assistant Professor Department of Pharmacology School of Medicine Vanderbilt University 8148-A Medical Research Building 3 465 21st Avenue South Nashville, TN 37232-8548 TEL (615) 936-1510 FAX (615) 936-3747 EMAIL [EMAIL PROTECTED] URL http://people.vanderbilt.edu/~david.c.airey/dca_cv.pdf URL http://www.vanderbilt.edu/pharmacology _______________________________________________ R-SIG-Mac mailing list R-SIG-Mac@stat.math.ethz.ch https://stat.ethz.ch/mailman/listinfo/r-sig-mac
