R help - Aug 2007 - R and Windows Vista

Hello group,
 
it is reported (R for Windows FAQ) that R runs under Windows Vista.
However, does someone here have experience with R under Vista 64
and large (>3 or 4 GB) memory?
 
Greeting - Jan Budczies
 
 

	[[alternative HTML version deleted]]

Jan Budczies wrote:
>  
> Hello group,
>  
> it is reported (R for Windows FAQ) that R runs under Windows Vista.
> However, does someone here have experience with R under Vista 64
> and large (>3 or 4 GB) memory?
There is no 64-bit version of R for Windows available now. Mainly 
because there are no really stable gcc compilers available for that 
platform yet. You are welcome to contribute patches that make R work 
under  64-bit Vista with some compilers, of course.

Uwe Ligges


>  
> Greeting - Jan Budczies
>  
>  
> 
> 	[[alternative HTML version deleted]]
> 
> ______________________________________________
> R-help at stat.math.ethz.ch 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.

On Thu, 30 Aug 2007, Jan Budczies wrote:
>
> Hello group,
>
> it is reported (R for Windows FAQ) that R runs under Windows Vista.
> However, does someone here have experience with R under Vista 64
> and large (>3 or 4 GB) memory?
Yes, the person who wrote the FAQ entry does.

Note that the distributed Windows binary of R is a 32-bit executable, so 
the maximum memory it can address is 4GB (and it can do that in Vista 64 
on a 4GB RAM machine, unlike any 32-bit version of Windows).

If you want to use R on Vista 64, I suggest you use a current R-devel 
snapshot, as some changes have been made based on this experience.

> Greeting - Jan Budczies
>
>
>
> 	[[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at stat.math.ethz.ch 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