[R] R for windows 64 bit

[alessia matano]

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
>>>
>>
>