[R] R on the cloud - Windows to Linux

[Whit Armstrong]

subscribe to R-hpc.

and check out these:
https://github.com/armstrtw/rzmq
https://github.com/armstrtw/AWS.tools
https://github.com/armstrtw/deathstar

and this:
http://code.google.com/p/segue/

If you're willing to work, you can probably get deathstar to work
using a local windows box and remote linux nodes.

-Whit


On Wed, Dec 7, 2011 at 6:02 PM, Ben quant <ccquant at gmail.com> wrote:
> Hello,
>
> I'm working with the gam function and due to the amount of data I am
> working with it is taking a long time to run. I looked at the tips to get
> it to run faster, but none have acceptable side effects. That is the real
> problem.
>
> I have accepted that gam will run a long time. I will be running gam many
> times for many different models. To make gam useable I am looking at
> splitting the work up and putting all of it on an Amazon EC2 cloud. I have
> a Windows machine and I'm (planning on) running Linux EC2 instances via
> Amazon.
>
> I have R running on one EC2 instance now. Now I'm looking to:
>
> 1) division of processing
> 2) creating/terminating instances via R
> 3) porting code and data to the cloud
> 4) producing plots on the cloud and getting them back on my (Windows)
> computer for review
> 5) do all of the above programmically (over night)
>
> I am new'ish to R, brand new to the cloud, and I am new to Linux (but I
> have access to a Linux expert at my company). I'm looking for 1) guidance
> so I am headed in the best direction from the start, 2) any gotchas I can
> learn from, 3) package suggestions.
>
> Thank you very much for your assistance!
>
> Regards,
>
> Ben
>
>        [[alternative HTML version deleted]]
>
> ______________________________________________
> 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.