On Thu, 7 Sep 2006, alex lam (RI) wrote: > Dear list, > > I have been trying to run the function "qvalue" under the package qvalue > on a vector with about 20 million values. > > > asso_p.qvalue<-qvalue(asso_p.vector) > Error: cannot allocate vector of size 156513 Kb > > sessionInfo() > Version 2.3.1 (2006-06-01) > i686-pc-linux-gnu > > attached base packages: > [1] "methods" "stats" "graphics" "grDevices" "utils" > "datasets" > [7] "base" > > other attached packages: > qvalue > "1.1" > > gc() > used (Mb) gc trigger (Mb) max used (Mb) > Ncells 320188 8.6 23540643 628.7 20464901 546.5 > Vcells 101232265 772.4 294421000 2246.3 291161136 2221.4 > > I have been told that the linux box has 4Gb of RAM, so it should be able > to do better than this.
But it also has a 4Gb/process address space, and of that some (1Gb?) is reserved for the system. So it is quite possible that with 2.2Gb used you are unable to find any large blocks. > I searched the FAQ and found some tips on increasing memory size, but > they seem to be windows specific, such as memory.size() and the > -max-mem-size flag. On my linux box R didn't recognise them. ?"Memory-limits" is the key Error messages beginning 'cannot allocate vector of size' indicate a failure to obtain memory, either because the size exceeded the address-space limit for a process or, more likely, because the system was unable to provide the memory. Note that on a 32-bit OS there may well be enough free memory available, but not a large enough contiguous block of address space into which to map it. > I don't understand the meaning of max-vsize, max-nsize and max-ppsize. > Any help on how to increase the memory allocation on linux is much > appreciated. Get a 64-bit OS. -- 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.