You could always just run something like

system("path/to/R/RScript myfile.R")

from within R.

But this also sounds like something that the parallel package  may be
helpful with to use your 8 cores to speed up your update process.


On Thu, Jan 31, 2013 at 2:12 PM, Brigid Mooney <bkmooney@gmail.com> wrote:

> Is there a way to start multiple instances of R in an automated manner?
>
> Since I'm not sure that question makes tons of sense, here's my scenario:
>
> I have a number of data updates that need to be completed on an ongoing
> basis with the data pulled from and then stored to another location.  The
> updates are manually triggered, so can build up in terms of the volume that
> needs to be updated.
>
> The updates can take a lot of time if I run everything from within a single
> Rgui, but it isn't a big deal if there aren't a lot of accumulated updates
> that need to be run.
>
> But say if I have a week or a month's worth of accumulated updates to run,
> this takes a LOT of time in a single Rgui.  If I split it up, I can run it
> on 6 Rgui's (I'm in windows 7 with an 8 Core machine) and increase my
> overall efficiency.  But this requires manual intervention as there are
> steps before (that figure out how big the updates that must be run are) and
> then steps after that summarize and give me some metadata.
>
> What I would love is something that will execute within an existing Rgui
> and allows me to send a command (such as source( "myfile.R" ) to a new
> Rgui.  Does such a command even exist or is this just wishful thinking?
>
> I'm trying to avoid writing a wrapfile in another language which would be
> able to source the .R file as most of this (before and after the ideal
> split point) is written in R already.
>
> (FWIW Windows 7, 8 core machine running 64bit R)
>
> Thanks,
> Brigid
>
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-- 
Gregory (Greg) L. Snow Ph.D.
538280@gmail.com

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