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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--
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
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