On Fri, Oct 5, 2012 at 12:09 PM, PIKAL Petr <petr.pi...@precheza.cz> wrote: > Hi > >> -----Original Message----- >> From: r-help-boun...@r-project.org [mailto:r-help-bounces@r- >> project.org] On Behalf Of Skála, Zdeněk (INCOMA GfK) >> Sent: Friday, October 05, 2012 3:38 PM >> To: r-help@r-project.org >> Subject: [R] R: machine for moderately large data >> >> Dear all, >> >> I would like to ask your advice about a suitable computer for the >> following usage. >> I (am starting to) work with moderately big data in R: >> - cca 2 - 20 million rows * 100 - 1000 columns (market basket data) >> - mainly clustering, classification trees, association analysis (e.g. >> libraries rpart, cba, proxy, party) > > If I compute correctly, such a big matrix (20e6*1000) needs about 160 GB just > to be in memory. Are you prepared for this?
This is not as outrageous as one might think -- you can get a mac pro with 32 gigs of memory for around $3,500 Best, Ista > > Maybe some suitable database interface shall be preferable. > > Regards > Petr > >> >> Can you recommend a sufficient computer for this volume? >> I am routinely working in Windows but feel that Mac or some linux >> machine might be needed. >> >> Please, respond directly to my email. >> Many thanks! >> >> Zdenek Skala >> zdenek.sk...@gfk.com >> >> >> [[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. ______________________________________________ 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.
