Try this chance to actually return values:
library(doParallel)
Simpar3 <- function(n1) {
L2distance <- matrix(NA, ncol=n1, nrow=n1)
data <- rnorm(n1)
diag(L2distance)=0
cl <- makeCluster(4)
registerDoParallel(cl)
x <- foreach(j=1:n1) %dopar% {
library(np)
datj <- data[j]
for(k in j:n1) {
L2distance[j,k] <- k*datj
}
L2distance # return the value
}
stopCluster(cl)
return(x)
}
Res <- Simpar3(100)
Jim Holtman
Data Munger Guru
What is the problem that you are trying to solve?
Tell me what you want to do, not how you want to do it.
On Fri, Jul 31, 2015 at 8:39 AM, Martin Spindler <martin.spind...@gmx.de>
wrote:
> Dear all,
>
> when I am running the code attached below, it seems that no results are
> returned, only the predefined NAs. What mistake do I make?
> Any comments and help is highly appreciated.
>
> Thanks and best,
>
> Martin
>
>
> Simpar3 <- function(n1) {
> L2distance <- matrix(NA, ncol=n1, nrow=n1)
> data <- rnorm(n1)
> diag(L2distance)=0
> cl <- makeCluster(4)
> registerDoParallel(cl)
> foreach(j=1:n1) %dopar% {
> library(np)
> datj <- data[j]
> for(k in j:n1) {
> L2distance[j,k] <- k*datj
> }
> }
> stopCluster(cl)
> return(L2distance)
> }
>
> Res <- Simpar3(100)
>
> ______________________________________________
> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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> and provide commented, minimal, self-contained, reproducible code.
>
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
