[R] Moving to Mac OS X

[Steve Lianoglou]

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 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.
>>>
>>> ______________________________________________
>>> 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
>>
>
> ______________________________________________
> 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