The recommended technique is to create objects as their final size and then subscript into them with your data.
My intuition (which is often brutally wrong) tells me that your case should not be overly traumatic. So I'm suspicious that you are fragmenting memory in other ways as well. Patrick Burns [EMAIL PROTECTED] +44 (0)20 8525 0696 http://www.burns-stat.com (home of S Poetry and "A Guide for the Unwilling S User") erwann rogard wrote:
hello, i have something like: out<-list() for(i in 1:n){ data<-gen(...) #fixed size data out[[i]]<- fun(data) }object.size(out[[1]])6824 In principle 1 GB should allow n = 1024^3/6824 = 157347? i have about 2GB are not taken by other processes. however, I can see the memory shrinking quite rapidly on my system monitor and have to stop the simulation after only n=300. why such a discrepancy? any remedy? x86_64-pc-linux/RKWard/R2.8.0/ 4GB thanks. [[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.
______________________________________________ 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.
