Dear all 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. Kind regards Alan Alan Simpson Technical Lead, Retail Model Development Retail Models Project National Australia Bank Level 15, 500 Bourke St, Melbourne VIC Tel: +61 (0) 3 8697 7135 | Mob: +61 (0) 412 975 955 Email: alan.x.simp...@nab.com.au The information contained in this email and its attachments may be confidential. If you have received this email in error, please notify the sender by return email, delete this email and destroy any copy. Any advice contained in this email has been prepared without taking into account your objectives, financial situation or needs. Before acting on any advice in this email, National Australia Bank Limited ABN 12 004 044 937 AFSL and Australian Credit Licence 230686 (NAB) recommends that you consider whether it is appropriate for your circumstances. If this email contains reference to any financial products, NAB recommends you consider the Product Disclosure Statement (PDS) or other disclosure document available from NAB, before making any decisions regarding any products. If this email contains any promotional content that you do not wish to receive, please reply to the original sender and write "Don't email promotional material" in the subject. [[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.