When I try this:
tmp <- randz<-matrix(rnorm(2000000),2000,10000) dim(tmp)
[1] 2000 10000
It gives a result in less than one second. Very quick. And the resulting matrix is not alarmingly big.
There must be some other problem. Perhaps your computer has only a very small amount of memory?
Ask again, and this time include any error messages. -Don At 10:54 PM +0200 7/16/09, Jose Narillos de Santos wrote:
Hi I want to simulate random numbers normal distributed with this size (2000,10000). I tried this but my computer exhaust there is a fast way to make it? randz<-matrix(rnorm(2000000),2000,10000) [[alternative HTML version deleted]] ______________________________________________ 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.
-- -------------------------------------- Don MacQueen Environmental Protection Department Lawrence Livermore National Laboratory Livermore, CA, USA 925-423-1062 ______________________________________________ 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.