"Roger D. Peng" <[EMAIL PROTECTED]> writes: > I've been running R on 64-bit SuSE Linux on Opterons for a few months > now and it certainly runs fine in what I would call standard > situations. In particular there seems to be no problem with > workspaces > 4GB. But I seldom handle single objects (like matrices, > vectors) that are > 4GB. The only exception is lists, but I think > those are okay since they are composed of various sub-objects (like > Peter mentioned).
I just tried, and x <- numeric(1e9) (~8GB) doesn't appear to be a problem, except that it takes "forever" since the machine in question has only 1GB of memory, and numeric() zero fills the allocated block... -- O__ ---- Peter Dalgaard Blegdamsvej 3 c/ /'_ --- Dept. of Biostatistics 2200 Cph. N (*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918 ~~~~~~~~~~ - ([EMAIL PROTECTED]) FAX: (+45) 35327907 ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
