[R] R for windows 64 bit

alessia matano alexis.rtd at gmail.com
Wed Jan 13 12:09:59 CET 2010 

Thanks to all of you,

therefore if I got it well, I could also use the command

And, say, --max-mem-size=8G would work

from outside R, to further increase the memory even if the machine is
6giga. I had an idea of that before, but I was not so sure!

Many thanks again for all your advices.
Best
alessia

2010/1/12 Uwe Ligges <ligges at statistik.tu-dortmund.de>:
> On 12.01.2010 21:07, Alexander Shenkin wrote:
>>
>> Hi Alessia,
>>
>> Note that, while your physical limit might be 6 GB, Windows memory
>> management allows more memory than that to be allocated (aka Virtual
>> Memory, or at least that's what they called it in XP).  Windows swaps
>> out memory from RAM to the hard disk and back when necessary (please
>> excuse the explanation if you already know all this).  For processing
>> large vectors, this swapping might bring your system to a standstill.
>> Regardless, the "maximum" memory for a windows process is larger than
>> the physical RAM you have available.
>>
>> allie
>
>
> In this case 6Gb was the default (as physical maximum in the particular
> machine) and there was bug in the *experimental* version of R that did not
> allow to increase memory size from within R using memory.limit() which
> already has been fixed thanks to Brian Ripley.
>
> Uwe Ligges
>
>
>> On 1/12/2010 6:27 AM, alessia matano wrote:
>>>
>>> Fine, it worked. I will try in this way.
>>>
>>> Just the last question and I won't bother you further today. My
>>> machine right now has just 6 giga of RAM (it will be increased to 16
>>> in a few days), and I see that with this experimental version
>>> memory.limit is 6135.
>>>
>>> How is the command to increase the memory usage until the maximum I
>>> can (5 giga?). If I am writing memory.limit(5000) it still gives me
>>> the error:
>>>
>>> don't be silly! Your machine has a 4Gb address limit
>>>
>>> which is quite odd.
>>>
>>> Many thanks
>>> Best
>>> A.
>>>
>>> 2010/1/12 alessia matano<alexis.rtd at gmail.com>:
>>>
>>>> ok, perfect!
>>>> I will try with it...many many thanks. Have you got there also the
>>>> quantreg package, which has actually the same problem of sparseM
>>>> (32bit version)?
>>>>
>>>> best
>>>> alessia
>>>>
>>>> 2010/1/12 Uwe Ligges<ligges at statistik.tu-dortmund.de>:
>>>>
>>>>>
>>>>> On 12.01.2010 12:09, alessia matano wrote:
>>>>>
>>>>>> I am sorry, I know it is an experimental version, and I have been
>>>>>> misleading saying a new version.
>>>>>>
>>>>>> Therefore, I will wait for when they will be available officially,
>>>>>> since it is just a few days.
>>>>>>
>>>>> Or just use today my private repository I indicated in the other mail.
>>>>>
>>>>> Uwe Ligges
>>>>>
>>>>>
>>>>>
>>>>>> However, I tried also to go to the cran pages and download them and
>>>>>> insert into the library. For quantreg it worked, for sparseM it did
>>>>>> not probably because it's a win32 version, as you said.
>>>>>>
>>>>>>
>>>>>>
>>>>>> 2010/1/12 Prof Brian Ripley<ripley at stats.ox.ac.uk>:
>>>>>>
>>>>>>> On Tue, 12 Jan 2010, alessia matano wrote:
>>>>>>>
>>>>>>>
>>>>>>>> Dear all,
>>>>>>>>
>>>>>>>> I just download and set this new version of R. I am now trying to
>>>>>>>> download the packages I need which are sperseM and quantreg. I
>>>>>>>> downloaded and insert into the library file the quantreg pacjkage
>>>>>>>> and
>>>>>>>> it seems to work. However, when I try to do the same with sparseM I
>>>>>>>> get the following error message:
>>>>>>>>
>>>>>>>> Loading required package: SparseM
>>>>>>>> Error in inDL(x, as.logical(local), as.logical(now), ...) :
>>>>>>>>  unable to load shared library
>>>>>>>> 'C:/PROGRA~1/R/R-211~1.0DE/library/SparseM/libs/SparseM.dll':
>>>>>>>>  LoadLibrary failure:  %1 non è un'applicazione di Win32 valida.
>>>>>>>>
>>>>>>>>
>>>>>>>> Any help for it?
>>>>>>>>
>>>>>>> Please do refer to the posting referred to in that thread (and
>>>>>>> Henrique,
>>>>>>> please do not post just the URL without the explanations).
>>>>>>>
>>>>>>> https://stat.ethz.ch/pipermail/r-devel/2010-January/056301.html
>>>>>>>
>>>>>>> You cannot mix 32-bit Windows binary packages with this experimental
>>>>>>> port
>>>>>>> (it is not a 'new version'): you need to install from the package
>>>>>>> sources.
>>>>>>>  If that is too difficult for you, please do not try to use
>>>>>>> unsupported
>>>>>>> experimental builds (and Uwe Ligges may have some binary packages
>>>>>>> available
>>>>>>> for test in a few days).
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>>> Thanks a lot
>>>>>>>> alessia
>>>>>>>>
>>>>>>>> 2010/1/11 Henrique Dallazuanna<wwwhsd at gmail.com>:
>>>>>>>>
>>>>>>>>> Try this version (beta of development version):
>>>>>>>>>
>>>>>>>>> http://www.stats.ox.ac.uk/pub/RWin/Win64/R-2.11.0dev-win64.exe
>>>>>>>>>
>>>>>>>>> On Mon, Jan 11, 2010 at 2:29 PM, alessia
>>>>>>>>> matano<alexis.rtd at gmail.com>
>>>>>>>>> wrote:
>>>>>>>>>
>>>>>>>>>> Dear all,
>>>>>>>>>>
>>>>>>>>>> do you know if there is any particular version of R to implement
>>>>>>>>>> with
>>>>>>>>>> windows 64 bit, in such a way to increase the amount of memory it
>>>>>>>>>> can
>>>>>>>>>> use?
>>>>>>>>>>
>>>>>>>>>> How should I increase the memory, and more importantly to set a
>>>>>>>>>> higher
>>>>>>>>>> max vector size? It still stops me saying "Could not allocate
>>>>>>>>>> vector
>>>>>>>>>> of size 145"
>>>>>>>>>>
>>>>>>>>>> thanks to all
>>>>>>>>>> alessia
>>>>>>>>>>
>>>>>>>>>> ______________________________________________
>>>>>>>>>> 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.
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> --
>>>>>>>>> Henrique Dallazuanna
>>>>>>>>> Curitiba-Paraná-Brasil
>>>>>>>>> 25° 25' 40" S 49° 16' 22" O
>>>>>>>>>
>>>>>>>>>
>>>>>>>> ______________________________________________
>>>>>>>> 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.
>>>>>>>>
>>>>>>>>
>>>>>>> --
>>>>>>> Brian D. Ripley,                  ripley at stats.ox.ac.uk
>>>>>>> Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
>>>>>>> University of Oxford,             Tel:  +44 1865 272861 (self)
>>>>>>> 1 South Parks Road,                     +44 1865 272866 (PA)
>>>>>>> Oxford OX1 3TG, UK                Fax:  +44 1865 272595
>>>>>>>
>>>>>>
>>>>>
>>>>
>>> ______________________________________________
>>> 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.
>

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