That's a 10,000 x 120 matrix, if I understand you right. That is quite modest. The key issue is to be able to do an SVD:
> A <- matrix(rnorm(1e4*120), 1e4, 120) > dim(A) [1] 10000 120 > system.time(svd(A)) [1] 2.79 0.13 2.93 NA NA on a similar machine to yours, using 50Mb. It would be worth considering downloading a suitable ATLAS-based Rblas.dll if you are doing much of this. On Tue, 29 Aug 2006, isidora k wrote: > > I have got windows and 1Gb ram. my matrices are > monthly data for 10 years for sometimes more than > 10,000 locations. I am going to perform the EOF on one > variable at a time and then the CCA on the principal > components that I will get from EOF. Do you think I > could do that in R?I could also find a macintosh I > could work with or get more RAM if you think this will > cause problems, but I am more concerned with the > software limitations if any! > thank you so much for your help. > Kind Regards > Isidora > > __________________________________________________ > Do You Yahoo!? > Tired of spam? Yahoo! Mail has the best spam protection around > http://mail.yahoo.com > -- Brian D. Ripley, [EMAIL PROTECTED] Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595 ______________________________________________ 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 and provide commented, minimal, self-contained, reproducible code.
