Thanks Nathaniel!
> Spawn multiple Python processes, each of which uses rpy2 to load
R, and talk to them over any Python-level IPC library.
The latter is really a huge improvement over the former, because there
are great IPC libraries for python -- e.g., the pyprocessing library
(included by default in python 2.6). For instance, I have lots of
regression problems to solve, and prefer to use (computationally
expensive) robust regression, so it's very helpful to be able to say
things like...
I took your advice and implemented using "Parallel Python". Can you comment
on your choice of pyprocessing? It seems like a simple re-write to switch
over.
Thanks,
Mark
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