Alan, More RAM will definitely help. But if you have an object needing more than 2^31-1 ~ 2 billion elements, you'll hit a wall regardless. This could be particularly limiting for matrices. It is less limiting for data.frame objects (where each column could be 2 billion elements). But many R analytics under the hood use matrices, so you may not know up front where you could hit a limit.
Jay ---- Original message ---- I have a Windows Server 2008 R2 Enterprise machine, with 64bit R installed running on 2 x Quad-core Intel Xeon 5500 processor with 24GB DDR3 1066 Mhz RAM. I am seeking to analyse very large data sets (perhaps as much as 10GB), without the addtional coding overhead of a package such as bigmemory(). My question is this - if we were to increase the RAM on the machine to (say) 128GB, would this become a possibility? I have read the documentation on memory limits and it seems so, but would like some additional confirmation before investing in any extra RAM. --------------------------------------------- -- John W. Emerson (Jay) Associate Professor of Statistics, Adjunct, and Acting Director of Graduate Studies Department of Statistics Yale University http://www.stat.yale.edu/~jay [[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.
