Dear R help,
I've what I think is a fairly simple parallel problem, and am getting
bogged down in documentation and packages for much more complex situations.
I have a big matrix (30^5,5]. I have a function that will act on each row
of that matrix sequentially and output the 'best' result from the whole
matrix (it compares the result from each row to the last and keeps the
'better' result). I would like to divide that first large matrix into
chunks equal to the number of cores I have available to me, and work
through each chunk, then output the results from each chunk.
I'm really having trouble making head or tail of how to do this on a
windows machine - lots of different false starts on several different
packages now. Basically, I have the function, and I can of course easily
divide the matrix into chunks. I just need a way to process each chunk
in parallel (other than opening new R sessions for each core manually).
Any help much appreciated - after two days of trying to get this to work
I'm pretty burnt out.
Thanks
*Ben Caldwell*
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