Zach, The R-gurus will correct me when I'm wrong, but as far as my very limited experience goes, the 64bit version only gives you an advantage when throwing around huge datasets or doing very memory-intensive tasks. For most of the things I do with R, there is no difference at all. Now the difference between an old x86 and a new quadcore i7, that's another story...
Cheers Joris On Fri, May 7, 2010 at 2:32 PM, zach Li <zach...@hotmail.com> wrote: > thanks Joris, > > the reason I am looking for the instructions is that I hope 64 bit hmisc > will run better(faster) than 32 bit on 64 environment. > > Regards, > Zach. > > ------------------------------ > Date: Fri, 7 May 2010 11:10:36 +0200 > Subject: Re: [R] help on hmisc > From: jorism...@gmail.com > To: zach...@hotmail.com > CC: r-help@r-project.org > > > Puzzling question. You install R, you click on "install packages", you > select a mirror, you select hmisc, and done. There is a 64bit version of R, > but a 32bit runs smooth on a Windows 7 64bit as well. if you love the > command line, look at ?install.packages. > > I can't see why you would like to compile an R package yourself. So in case > you have a specific problem, a bit more information would come handy. > > Cheers > Joris > > On Fri, May 7, 2010 at 3:30 AM, zach Li <zach...@hotmail.com> wrote: > > > can anyone know where i can find information on compile hmisc on windows, > especially 64 windows? > > > > thanks, > > _________________________________________________________________ > The New Busy is not the too busy. Combine all your e-mail accounts with > Hotmail. > > ID28326::T:WLMTAGL:ON:WL:en-US:WM_HMP:042010_4 > [[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. > > > > > -- > Joris Meys > Statistical Consultant > > Ghent University > Faculty of Bioscience Engineering > Department of Applied mathematics, biometrics and process control > > Coupure Links 653 > B-9000 Gent > > tel : +32 9 264 59 87 > joris.m...@ugent.be > ------------------------------- > Disclaimer : http://helpdesk.ugent.be/e-maildisclaimer.php > > ------------------------------ > The New Busy is not the old busy. Search, chat and e-mail from your inbox. Get > started.<http://www.windowslive.com/campaign/thenewbusy?ocid=PID28326::T:WLMTAGL:ON:WL:en-US:WM_HMP:042010_3> > -- Joris Meys Statistical Consultant Ghent University Faculty of Bioscience Engineering Department of Applied mathematics, biometrics and process control Coupure Links 653 B-9000 Gent tel : +32 9 264 59 87 joris.m...@ugent.be ------------------------------- Disclaimer : http://helpdesk.ugent.be/e-maildisclaimer.php [[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.
