parallel processing with foreach
It seems you don't quite understand how foreach works. foreach (..)
%dopar% { ... } takes the last value from each of the second {...}
evaluations and feeds them to the .combine function (in your case
rbind()). Since your last call in the %dopar% {...} block is assign(),
you are not getting anything meaningful.
Make the last value a vector that you want to be "rbind-ed" to the result.
HTH,
Peter
On Thu, Oct 25, 2012 at 1:47 AM, pxs101220 <pxs101220 at utdallas.edu> wrote:
Hi,
I am trying to parallel computing with foreach function, but not able to
get the result. I know that in parallel processing, all result is collected
in list format, but I am not able to get input there.
Any help is really appreciated.
esf.m <-foreach (i = 1:n.s, .combine=rbind) %dopar% {
EV <- as.data.frame(eig$vectors[,1:n.candid[i]])
colnames(EV) <- paste("EV", 1:NCOL(EV), sep="")
r25.esf.f <- lm(y ~ x1 + x2 +., data = EV)
assign(paste("r25.esf.", i, sep=""), stepwise.forward(r25.esf.f, lm(y ~ x1
+ x2, data = EV), 0.1, verbose = F))}
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