[R] R on Linux, and R on Windows , any difference in maturity+stability?
murdoch at stats.uwo.ca
Tue Oct 6 19:30:19 CEST 2009
On 10/6/2009 1:17 PM, Kjetil Halvorsen wrote:
> On Tue, Oct 6, 2009 at 11:23 AM, Duncan Murdoch <murdoch at stats.uwo.ca> wrote:
>> On 10/6/2009 10:34 AM, Jose Quesada wrote:
>>> Robert Wilkins <iwritecode2 <at> gmail.com> writes:
>>>> Will R have more glitches on one operating system as opposed to
>>>> another, or is it pretty much the same?
>>> One important difference is that, if you are unsing large datasets and
>>> memory, then windows is by far the worst. CRAN R is 32 bit and can only
>>> address 1.5 Gb of memory (or something similar; I
>>> don't really understand why).
>> By default, 32 bit Windows only gives 2 Gb for all the user processes to
>> share, and saves the rest of memory for itself. You can change this (see
>> the Windows FAQ), but the most you'll ever get is 3 Gb in 32 bit Windows,
>> _____and a bit under 4 Gb in 64 bit Windows.________
> That sounds incredible. ¿Why so?
When running a 32 bit program, 64 bit Windows hides most of itself
outside the address space visible to the program, so almost all of the 4
Gb address space is available to the user. But no more: no matter how
much RAM you install, it's not possible to address it using a 32 bit
>> Duncan Murdoch
>>> While there's a 64-bit version of R for windows (revolution-computing.com)
>>> would advise against using it, for several reasons. While revolution has
>>> provided very nice packages to the community (e.g., foreach), the win-64
>>> port as
>>> of today is certainly the worst platform to do work on. Reasons:
>>> (1) it's R 2.7.2
>>> (2) Many important packages will never be ported
>>> (3) Some packages (particularly those depending on Rjava) would not work
>>> (4) There's a proprietary repository, where most packages are outrageously
>>> outdated. (5) Most help you find on R-help will not apply. Instead, you
>>> have 'paid'
>>> support. Said support is slow, and close to useless in most cases.
>>> (6) Packages that rely on external tools (e.g., mysql) will take a lot of
>>> to get going.
>>> And of course, one have to pay for a yearly license, to have the privilege
>>> work under the above conditions.
>>> If you need 64-bit right now, my advice is to switch to basically any
>>> Note: this may change any time, since they are working on a continuous
>>> that will keep the releases in sync with mainstream R.
>>> Jose Quesada, PhD.
>>> Max Planck Institute, Human Development, Berlin
>>> R-help at r-project.org mailing list
>>> PLEASE do read the posting guide
>>> and provide commented, minimal, self-contained, reproducible code.
>> R-help at r-project.org mailing list
>> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
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