R help - Sep 2009 - Managing random number generating, while using Condor parallel computing

Hello all,

Recently I started playing with running R scripts on the Condor system in my
institute.
(For more on this, have a look at:
 Running Long R Jobs with Condor DAG
by Xianhong Xie
link: http://cran.r-project.org/doc/Rnews/Rnews_2005-2.pdf
)

Might someone advice me about the following question:
How should I handle the RNG (random number generation) in the running of
parallel instances of R on different machines.

For example, Let's say I wish to run 10 times a script that generates 100
normal variables and return their mean.
The script itself is easy to write. What I am not sure about is what should
I do with the seed.
Should I let the program choose one for itself ?
Should I set a seed according to some function of the current process ?
Is there an outside source I should get the numbers from?

Thanks,
Tal






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On Wed, Sep 30, 2009 at 05:02:15PM +0200, Tal Galili
wrote:
> Might someone advice me about the following question:
> How should I handle the RNG (random number generation) in the running of
> parallel instances of R on different machines.
> 
http://lmgtfy.com/?q=site%3Ar-project.org+parallel+RNG

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