On Tue, Feb 21, 2012 at 4:04 PM, Matthew Keller <mckellerc...@gmail.com> wrote:
> X <- read.big.matrix("file.loc.X",sep=" ",type="double")
> hap.indices <- bigsplit(X,1:2) #this runs for too long to be useful on
> these matrices
> #I was then going to use foreach loop to sum across the splits
> identified by bigsplit
How about just using foreach earlier in the process ? e.g. split
file.loc.X to (80) sub files and then run
read.big.matrix/bigsplit/sum inside %dopar%
If splitting X beforehand is a problem, you could also use ?scan to
read in different chunks of the file, something like (untested
obviously):
# for X a matrix 800x4
lineind<- seq(1,800,100) # create an index vec for the lines to read
ReducedX<- foreach(i = 1:8) %dopar%{
x <-
scan('file.loc.X',list(double(0),double(0),double(0),double(0)),skip=lineind[i],nlines=100)
... do your thing on x (aggregate/tapply etc.)
}
Hope this helped
Elai.
>
> SO - does anyone have ideas on how to deal with this problem - i.e.,
> how to use a tapply() like function on an enormous matrix? This isn't
> necessarily a bigtabulate question (although if I screwed up using
> bigsplit, let me know). If another package (e.g., an SQL package) can
> do something like this efficiently, I'd like to hear about it and your
> experiences using it.
>
> Thank you in advance,
>
> Matt
>
>
>
> --
> Matthew C Keller
> Asst. Professor of Psychology
> University of Colorado at Boulder
> www.matthewckeller.com
>
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