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R for windows 64 bit

7 messages · alessia matano, Duncan Murdoch, Henrique Dallazuanna +1 more

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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
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On 11/01/2010 11:29 AM, alessia matano wrote:
There are two that I know of.  Revolution Computing sells one, built 
with a commercial compiler.  Brian Ripley made a posting last week on 
the R-devel list about an experimental build using gcc.

Duncan Murdoch
#
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:

  
    
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Many thanks for all your suggestions.

And do you think then there is any particular issue  to increase the
amount of memory to be used?

2010/1/11 Henrique Dallazuanna <wwwhsd at gmail.com>:
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On 11.01.2010 17:56, alessia matano wrote:
It allocates up to 8Gb on my machine (that does not have more RAM). But 
note: it is experimental.

Uwe Ligges
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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 ? un'applicazione di Win32 valida.


Any help for it?
Thanks a lot
alessia

2010/1/11 Henrique Dallazuanna <wwwhsd at gmail.com>:
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On 12.01.2010 11:33, alessia matano wrote:
These packages have libraries that work for 32-bit R.

You need to compile 64-bit versions from sources using the setup as 
described in Brian Ripley's message on R-devel and in the R Installation 
and Administration manual.

Package repositories for 64-bit versions are not yet online for that 
*experimental* 64-bit version - although I am currently syncing them. 
The latter means an also *experimental* repository of 64-bit packages 
for Windows may go online in the CRAN network within very few days.

Note that you will need to set that repository manually for now.

In the meantime, you can get packages from my more or less private 
repository as follows:

install.packages(c("SparseM", "quantreg"),
 
contriburl="http://www.statistik.tu-dortmund.de/~ligges/CRAN/bin/windows64/contrib/2.11", 

     dependencies = TRUE)

Best,
Uwe Ligges