On 23.04.2013 15:00, Kaiyin Zhong (Victor Chung) wrote:
Thanks for the reply. How can i make the functions known to all nodes?
See ?clusterEvalQ you may also want to try the parallel packages. Best, Uwe Ligges
Best regards, Kaiyin ZHONG ------------------------------------------------------------------------ FMB, Erasmus MC k.zh...@erasmusmc.nl <mailto:k.zh...@erasmusmc.nl> kindlych...@gmail.com <mailto:kindlych...@gmail.com> On Tue, Apr 23, 2013 at 2:43 PM, Uwe Ligges <lig...@statistik.tu-dortmund.de <mailto:lig...@statistik.tu-dortmund.de>> wrote: On 18.04.2013 11:11, Kaiyin Zhong (Victor Chung) wrote: Here is the code, assuming 8 cores in the cpu. library('modeest') library('snow') cl = makeCluster(rep('localhost', 8), 'SOCK') x = vector(length=50) x = sapply(x, function(i) i=sample(c(1,0), 1)) pastK = function(n, x, k) { if (n>k) { return(x[(n-k):(n-1)]) } else {return(NA)} } predR = function(x, k) { pastList = lapply(1:length(x), function(n) pastK(n, x, k)) pred = sapply(pastList, function(v) mfv(v)[1]) ratio = sum(pred==x, na.rm=T)/(length(pred) - sum(is.na <http://is.na>(pred))) } testK = function() { k = seq(3, 25, 2) r = parSapply(cl, k, function(i) predR(x, i)) # r = sapply(k, function(i) predR(x, i)) } r = testK() stopCluster(cl) Here is the error: Error in checkForRemoteErrors(val) : 8 nodes produced errors; first error: could not find function "predR" predR is not yet known on all nodes, just on the master. You have to tell the nodes about the definition first. Best, Uwe Ligges Best regards, Kaiyin ZHONG ------------------------------ FMB, Erasmus MC k.zh...@erasmusmc.nl <mailto:k.zh...@erasmusmc.nl> kindlych...@gmail.com <mailto:kindlych...@gmail.com> [[alternative HTML version deleted]] ________________________________________________ R-help@r-project.org <mailto:R-help@r-project.org> mailing list https://stat.ethz.ch/mailman/__listinfo/r-help <https://stat.ethz.ch/mailman/listinfo/r-help> PLEASE do read the posting guide http://www.R-project.org/__posting-guide.html <http://www.R-project.org/posting-guide.html> and provide commented, minimal, self-contained, reproducible code.
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