R help - Apr 2009 - Public R servers?

Hello,

Earlier I posted a question about memory usage, and the community's input
was very helpful.  However, I'm now extending my dataset (which I use when
running a regression using lm).  As a result, I am continuing to run into
problems with memory usage, and I believe I need to shift to implementing the
analysis on a different system..

I know that R supports R servers through Rserve. Are there any public servers
where I could upload my datasets (either as a text file, or through a connection
to a SQL server), execute the analysis, then download the results?  I identifed
Wessa.net 
(http://www.wessa.net/mrc.wasp?outtype=Browser%20Blue%20-%20Charts%20White), but
it's not clear it will meet my needs.  Can anyone suggest any other
resources?

Thanks in advance,
Aaron Barzilai



      
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Hi Aaron,
> Earlier I posted a question about memory usage, and the community's
input was very helpful.  However, I'm now extending my dataset (which I use
when running a regression using lm).  As a result, I am continuing to run into
problems with memory usage, and I believe I need to shift to implementing the
analysis on a different system..
> 
> I know that R supports R servers through Rserve. Are there any public
servers where I could upload my datasets (either as a text file, or through a
connection to a SQL server), execute the analysis, then download the results?  I
identifed Wessa.net 
(http://www.wessa.net/mrc.wasp?outtype=Browser%20Blue%20-%20Charts%20White), but
it's not clear it will meet my needs.  Can anyone suggest any other
resources?
Karim Chine made available Amazon EC2 images with
R and biocep that can be run on the Amazon servers
on a pay per hour basis.

The only requirement is to have an Amazon EC2 account.
There is some explanation on

http://biocep-distrib.r-forge.r-project.org/doc.html

under the heading "Biocep-R on Amazon's Cloud"

HTH,
Tobias

> Earlier I posted a question about memory usage, and the community's
input was very helpful. ?However, I'm now extending my dataset (which I use
when running a regression using lm). ?As a result, I am continuing to run into
problems with memory usage, and I believe I need to shift to implementing the
analysis on a different system..
Have you looked at the biglm package?

Hadley

-- 
http://had.co.nz/