Hi, I am using R 2.10.1 and I have a doubt. Do you know how many cases can R handle? I want to use the library npmc but if I have more than 4,500 cases I get an error message. If I use less than 4500 cases I don´t have problems with this library. Is there any way to increase the number of cases in order to use this library. Thanks in advance Julio Flores [[alternative HTML version deleted]]
Hi, On Wed, May 18, 2011 at 6:29 PM, Julio C?sar Flores Castro <julio.flores at spss.com.mx> wrote:> Hi, > > I am using R 2.10.1 and I have a doubt.As a general rule of thumb, it's usually best to be using the latest version of R (which is no R 2.13.0) -- 2.10.1 came out in December, 2009, so ... try to upgrade if you can.> Do you know how many cases can R > handle?What do you mean "cases"? I reckon the answer to this question is related to the amount of RAM you have, and whether or not you are running R in 32 vs. 64 mode.> I want to use the library npmc but if I have more than 4,500 cases I get an > error message.To get better help, you should paste in the code you used that produced the error, as well as the error message itself.> Is there any way to increase the number of cases in order to use this > library.You haven't provided enough information to help just yet -- the error message you get will be *particularly* helpful, but please provide the code you used as well. If I had to guess, though, I'm going to go with my original "RAM + 64bit thing" as being one way to increase the number of "cases" you can use. -steve -- Steve Lianoglou Graduate Student: Computational Systems Biology ?| Memorial Sloan-Kettering Cancer Center ?| Weill Medical College of Cornell University Contact Info: http://cbio.mskcc.org/~lianos/contact
On Wed, 18 May 2011, Julio C?sar Flores Castro wrote:> Hi, > > > > I am using R 2.10.1 and I have a doubt. Do you know how many cases can R > handle?At least millions.> I want to use the library npmc but if I have more than 4,500 cases I get an > error message. If I use less than 4500 cases I don?t have problems with this > library.So you are not asking about R but about a contributed package. Clearly you have not read the posting guide (you sent HTML), so please do so and follow its advice. That amounts to preparing a documented and reproducible example and sending it to the package maintainer in a properly signed email which makes clear your affiliation (which appears to be a company).> Is there any way to increase the number of cases in order to use this > library. > > > > Thanks in advance > > > > Julio Flores > > > [[alternative HTML version deleted]] > >-- Brian D. Ripley, ripley at stats.ox.ac.uk Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595
On May 18, 2011, at 6:29 PM, Julio C?sar Flores Castro wrote:> Hi, > > I am using R 2.10.1 and I have a doubt. Do you know how many cases > can R > handle?I was able to handle (meaning do Cox proportional hazards work with the 'rms' package which adds extra memory overhead with a datadist object) a 5.5 million rows by 100 columns dataframe without difficulty using 24 GB on a Mac (BSD UNIX kernel). I was running into performance slow downs related to paging out to virtual memory at 150 columns, but after expanding to 32 GB can now handle 5.5 MM records with 200 columns without paging.> > I want to use the library npmc but if I have more than 4,500 cases I > get an > error message. If I use less than 4500 cases I don?t have problems > with this > library. > > Is there any way to increase the number of cases in order to use this > library.64 bit OS, 64 bit R, and more memory. -- David Winsemius, MD West Hartford, CT