Hi Simon, I took the spec from this Revo SlideShare. The spec is based on a regression.
http://www.revolutionanalytics.com/news-events/free-webinars/2011/intro-to-r-for-sas-spss/ Click the right arrow until you get to slide 3 of 14. Then, look at the slide in the lower-right hand corner (slide 12). - Ray On Thu, Oct 25, 2012 at 6:26 PM, Simon Urbanek <[email protected]>wrote: > > On Oct 25, 2012, at 7:42 PM, Ray DiGiacomo, Jr. wrote: > > > Hello Melanie, > > > > How much RAM is installed on your MacBook Pro compared to your > colleague's > > Linux machine? > > > > How big is your dataset in terms of rows and columns? > > > > I believe R can handle about 10M datapoints per GB of RAM. > > > > What exactly is that an estimate of? In R, 1GB of RAM will store ~134Mio > datapoints when using numeric matrices/vectors and twice as many as > integers or logicals. In practice, you will still need some room for > computation on the data, though. > > Cheers, > Simon > > > > Note that datapoints = rows x columns > > > > Best Regards, > > > > Ray DiGiacomo, Jr. > > Master R Trainer > > President, Lion Data Systems LLC > > President, The Orange County R User Group > > Board Member, TDWI > > [email protected] > > (Mobile) 408-425-7851 > > San Juan Capistrano, California > > > > Check out my one-on-one web-based R courses at > liondatasystems.com/courses > > > > > > > > > > > > On Thu, Oct 25, 2012 at 4:16 PM, Melanie Courtot <[email protected]> > wrote: > > > >> Hi, > >> > >> I am trying to run R on my MacBook Pro 2.4 GHz Intel core i5. I am > trying > >> to read a csv file, which works fine on my work colleague's machine > (under > >> linux) but causes my CPU to go up to 100% and makes the GUI unresponsive > >> and hangs on the command line. Activity monitor indicates there is only > one > >> R thread running. > >> > >> I did see that by default R was using the BLAS library, which is > >> single-threaded, and that there was an option to use vecLib instead. I > did > >> this, and > >> ls -l /Library/Frameworks/R.framework/Resources/lib/libRblas.dylib > >> does return > >> /Library/Frameworks/R.framework/Resources/lib/libRblas.dylib -> > >> libRblas.vecLib.dylib > >> > >> I however still see the same behavior: 100% CPU, single thread. > >> > >> I saw that some MacBook pro (Xeon Nehalem based) had a vecLib bug, so I > >> built the ATLAS library and symlinked R to libtatlas.dylib > (unfortunately > >> the pre compiled binairies pointed to in a previous email on the list > [1] > >> were not available anymore. Building ATLAS was... fun ;)) I was able to > get > >> the shared libraries (using --shared in my config) but still see the > same > >> behavior when trying to run my code. I was unsure if I should link to > >> libsatlas.dylib or libtatlas.dylib, so tried both (I guess the latter > was > >> the right one though) > >> > >> I tried building R from the source (specifying -arch x86_64 and > >> --enable-BLAS-shlib to be able to switch libraries), but same behavior > and > >> it seems it is an identical version to the prepackaged one (I tried with > >> BLAS, vecLib and ATLAS) > >> > >> R info: R version 2.15.1 (2012-06-22) -- "Roasted Marshmallows", > Platform: > >> x86_64-apple-darwin9.8.0/x86_64 (64-bit) > >> > >> Any help would be greatly appreciated. > >> > >> Thanks, > >> Melanie > >> > >> > >> [1] https://stat.ethz.ch/pipermail/r-sig-mac/2010-October/007817.html > >> > >> --- > >> Mélanie Courtot > >> MSFHR/PCIRN Ph.D. Candidate, > >> BCCRC - Terry Fox Laboratory - 12th floor > >> 675 West 10th Avenue > >> Vancouver, BC > >> V5Z 1L3, Canada > >> > >> _______________________________________________ > >> R-SIG-Mac mailing list > >> [email protected] > >> https://stat.ethz.ch/mailman/listinfo/r-sig-mac > >> > > > > [[alternative HTML version deleted]] > > > > _______________________________________________ > > R-SIG-Mac mailing list > > [email protected] > > https://stat.ethz.ch/mailman/listinfo/r-sig-mac > > [[alternative HTML version deleted]]
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