[R] Moving to Mac OS X

[Noah Silverman]

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.



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
>>>
>>> ______________________________________________
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>>> PLEASE do read the posting guide 
>>> http://www.R-project.org/posting-guide.html
>>> and provide commented, minimal, self-contained, reproducible code.
>>
>> ______________________________________________
>> R-help at 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
>