Section 8 of the Installation and Administration guide says that on 64-bit architectures the 'size of a block of memory allocated is limited to 2^32-1 (8 GB) bytes'.
The wording 'a block of memory' here is important, because this sets a limit on a single allocation rather than the memory consumed by an R session. The size of the allocation of the original poster was something like 300,000 SNPs x 1000 individuals x 8 bytes (depending on representation, I guess) = about 2.3 GB so there is still some room for even larger data. Obviously it's important to think carefully about how the statistical analysis of such a large volume of data will proceed, and be interpreted. Martin Thomas Lumley <[EMAIL PROTECTED]> writes: > On Thu, 21 Dec 2006, Iris Kolder wrote: > >> Thank you all for your help! >> >> So with all your suggestions we will try to run it on a computer with a >> 64 bits proccesor. But i've been told that the new R versions all work >> on a 32bits processor. I read in other posts that only the old R >> versions were capable of larger data sets and were running under 64 bit >> proccesors. I also read that they are adapting the new R version for 64 >> bits proccesors again so does anyone now if there is a version available >> that we could use? > > Huh? R 2.4.x runs perfectly happily accessing large memory under Linux on > 64bit processors (and Solaris, and probably others). I think it even works > on Mac OS X now. > > For example: >> x<-rnorm(1e9) >> gc() > used (Mb) gc trigger (Mb) max used (Mb) > Ncells 222881 12.0 467875 25.0 350000 18.7 > Vcells 1000115046 7630.3 1000475743 7633.1 1000115558 7630.3 > > > -thomas > > Thomas Lumley Assoc. Professor, Biostatistics > [EMAIL PROTECTED] University of Washington, Seattle > > ______________________________________________ > [email protected] 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. -- Martin T. Morgan Bioconductor / Computational Biology http://bioconductor.org ______________________________________________ [email protected] 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.
