Re: [R] Performance Difference? Windows vs. Linux

From: Spencer Graves <spencer.graves_at_structuremonitoring.com>
Date: Fri, 18 Mar 2011 17:35:47 -0700

       Others can discuss the comparative speed. I recently installed Linux on a new quad core computer I purchased. I found it surprisingly easy to learn how to do the things I needed. Now the hard drive is dying on my Vista notebook computer. In shopping for a replacement, I likely will insist on Linux, even if I have to create a secondary partition and install Linux myself.

       A friend installed Linux for me, but he has not been available to answer all my questions. For that, Google has been quite helpful.

       I installed Linux, because it offered more flexibility than I could get with any version of Windows. For example, on my dual core Vista machine, I can't run two Python sessions simultaneously. I'm doing real time downloads and uploads with an FTP site. I was doing those under Vista, but Windows could not be easily extended to multiple applications like that in parallel without paying more for Windows Server than I paid for the hardware. So far, I'm working fine with 2 GB RAM under Linux with fewer problems than I have with 8 GB RAM under Vista.

       Hope this helps.
       Spencer Graves


On 3/18/2011 4:39 PM, Liviu Andronic wrote:
> On Fri, Mar 18, 2011 at 11:00 PM, Brigid Mooney<bkmooney@gmail.com> wrote:
>> I'm not trying to start a Windows vs. Linux debate, but I've been
>> using R on a Windows machine for a while, and was recently wondering
>> if R's performance would be faster on a Linux machine. And similarly,
>> if any incremental increase in processing speed would be worth the
>> time it would take me to migrate my entire system to Linux (including
>> a database that I access via an R package.)
>>
> It would help to know what is your system. A sessionInfo() would be a start.
> Liviu
>
>
>> I don't know how much it matters what R is doing - but I've got R
>> pulling a large amount data from a database, performing many complex
>> computations on that data, and then writing output data to a database.
>>
>> Thanks so much for the input,
>> Brigid
>>
>> ______________________________________________
>> 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. Received on Sat 19 Mar 2011 - 00:40:31 GMT

Archive maintained by Robert King, hosted by the discipline of statistics at the University of Newcastle, Australia.
Archive generated by hypermail 2.2.0, at Sat 19 Mar 2011 - 01:10:23 GMT.

Mailing list information is available at https://stat.ethz.ch/mailman/listinfo/r-help. Please read the posting guide before posting to the list.

list of date sections of archive