On 13/02/2012 06:51, Slava Razbash wrote:
Hello,
Can I do the following? Is parallel:::clusterApplyLB() designed to
work like this? The code below is for illustrative purposes only.
It is designed to work with standard R semantics. For ... those are
quite complex, and you may have to force evaluation before sending to
the workers: that is easy to do, and there are examples in package boot.
library(parallel)
myFunction<-function(myPar1, myPar2, ...) {
clusterApplyLB(myCluster, x, otherFunction, otherPar1=myPar1,
otherPar2=myPar2, ....)
}
otherFunction<-function(otherPar1, otherPar2, ...) {
someFunction(somePar1, ....)
}
Well, that will not work. See what the posting guide has to say about
reproducible examples.
someFunction<-function(somePar1, somePar2=NULL, somePar3=someVal) {
##Do some stuff
}
myFunction( myVal1, myVal2, somePar2=myVal3, somePar3=myVal4)
The intention is that myVal3 and myVal4 get passed to someFunction()
through clusterApplyLB if they are specified.
Best Regards,
Slava
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Brian D. Ripley, rip...@stats.ox.ac.uk
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