Thanks to everybody for your comments. All the best. Víctor Manuel García Guerrero Doctorado en Estudios de Población, CEDUA, COLMEX Camino al Ajusco N° 20, Pedregal de Sta. Teresa C.P.10740, Tlalpan, México, D.F. * : vmgar...@colmex.mx <mailto:vmgar...@colmex.mx> * : 5617-9016
________________________________ De: r-help-boun...@r-project.org en nombre de Noah Silverman Enviado el: vie 11/09/2009 03:03 Para: r help Asunto: Re: [R] Moving to Mac OS X Thanks Steve, That's a big help. On 9/11/09 12:48 PM, Steve Lianoglou wrote: > Hi, > > On Sep 11, 2009, at 3:40 PM, Noah Silverman wrote: > >> Steve, >> >> You make a good point. I confused 64 bit with a multi-core setup. >> >> That said, I don't belive the pretty packaged up GUI has a 64 bit >> version, just the "raw terminal" version does. > > There is a 64bit version of the R.app GUI, you can get it from here: > > http://r.research.att.com/#GUI > > For some reason the 2.9-leopard.dmg is missing (though the 2.10-devel > is there). This was just noticed on R-sig-mac earlier today and, > AFAIK, it should be back soon. > > -steve > >> >> >> >> On 9/11/09 12:38 PM, Steve Lianoglou wrote: >>> Hi, >>> >>> On Sep 11, 2009, at 3:08 PM, Noah Silverman wrote: >>>> 3) I purposefully chose NOT to install 64bit R. I have a dual-core >>>> machine. With the 32 bit version, R will happily keep one core >>>> running at 100%, but then I have other core free for my "regular" >>>> work. >>> >>> Using 64bit R shouldn't change your CPU usage, so if you want to use >>> it to deal with larger data, feel free to do so ... unless you >>> explicitly write code to use >1 cpu, you'll still have another cpu >>> free to do with what you will (assuming you have enough ram). >>> >>> -steve >>> >>>> On 9/11/09 10:32 AM, Marc Schwartz wrote: >>>>> On Sep 11, 2009, at 12:15 PM, Victor Manuel Garcia Guerrero wrote: >>>>> >>>>>> Hi all, >>>>>> >>>>>> I have been using R on Windows for a long time, but now I am >>>>>> ready to move to Mac OS X, but I was just wondering if R works >>>>>> better on Mac than on Windows. This is because I had some memory >>>>>> size issues in the past. >>>>>> >>>>>> Another question is if some of you know an R editor for Mac (just >>>>>> like Tinn-R). >>>>>> >>>>>> Thanks. >>>>> >>>>> The notion of "better" is always in the eyes of the useR and will >>>>> depend upon specific criteria. >>>>> >>>>> OSX can run R in both 32 bit and 64 bit modes and indeed the >>>>> default OSX download for R provided by Simon installs and supports >>>>> both. If you use the 32 bit version, then from a memory management >>>>> standpoint, you will not see demonstrable gains over Windows. >>>>> However, with the 64 bit version, you will avail yourself of a >>>>> much larger memory address space as compared to running 32 bit R >>>>> on Windows. That of course presumes that you have a lot of RAM in >>>>> your Mac to actually take advantage of the larger address space. >>>>> >>>>> The 64 bit memory address space is also available via Linux, with >>>>> appropriate hardware. >>>>> >>>>> >>>>> You might want to review the R OSX FAQ: >>>>> >>>>> http://cran.r-project.org/bin/macosx/RMacOSX-FAQ.html >>>>> >>>>> and also note that there is a OSX specific e-mail list: >>>>> >>>>> https://stat.ethz.ch/mailman/listinfo/r-sig-mac >>>>> >>>>> >>>>> As far as editors, I am not familiar with the details of Tinn-R, >>>>> but ESS/Emacs is available for OSX and this is what I use >>>>> (continuing what I had been using on Linux for the past number of >>>>> years). Others will likely be able to provide other >>>>> recommendations and you might want to search the R-SIG-Mac list >>>>> archives as no doubt there have been such discussions in the past. >>>>> >>>>> HTH, >>>>> >>>>> Marc Schwartz >>>>> >>>>> ______________________________________________ >>>>> 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. >>> >>> -- >>> 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 >>> >> >> ______________________________________________ >> 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. > > -- > 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 > ______________________________________________ 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.
