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Hi all, I am trying to use snow package to do a parallel MCMC. I have read a few guides and articles, the following is that I came up with. When I run it I got the error message: Error in checkForRemoteErrors(lapply(cl, recvResult)) : 4 nodes produced errors; first error: could not find function "ui.Next" The data is a longitudinal data with few repeated readings on a number of individuals. However, the response is organised in a vector rather than a matrix. E.g. (y_11 , y_12 , y_13 , y_14 , y_21 , y_22 , ... ,...

...; cl <- makeCluster(noclusters, type = "MPI") 2 slaves are spawned successfully. 0 failed. > foo<-clusterApply(cl,1:noclusters,function(noderank) {2+2}) > foo [[1]] [1] 4 [[2]] [1] 4 > clusterCall(cl,setwd("C:/")) Error in checkForRemoteErrors(lapply(cl, recvResult)) : 2 nodes produced errors; first error: variable "C:/" of mode "function" was not found > Any suggestions ? Thanks in advance, Tolga Generally, this communication is for informational purposes only and it is not intended as an offer or solicitation for the purchas...

...bootstrap to run. For example, using snow: cl <- makeCluster(8) clusterSetupRNG(cl) clusterEvalQ(cl,library(boot)) clusterEvalQ(cl,library(lme4)) boot.out<-clusterCall(cl,boot(dat.res,boot.fun, R = nboot)) stopCluster() returns the following error: Error in checkForRemoteErrors(lapply(cl, recvResult)) : 8 nodes produced errors; first error: could not find function "fun" I am stuck and at the limit of my programming knowledge and am punting to the R-help list. I need to run this process thousands of times, which is the reason to make it parallel. Any suggestions are much appreci...

I am interested in running R commands asynchronously. My first choice is in the same R session that I am currently in. Here, the goal would be to run something like RunAsynchSameSession(myfunction(), "outputname.rda") Once RunAsynchSameSession had started myfunction(), RunAsynchSameSession would complete immediately. myfunction would keep going. It is OK if execution of the

...strap to run. For example, using snow: cl <- makeCluster(8) clusterSetupRNG(cl) clusterEvalQ(cl,library(boot)) clusterEvalQ(cl,library(lme4)) m2.ph.rlm.boot<-clusterCall(cl,boot(m2.ph,m2.ph.fun, R = nboot)) stopCluster() returns the following error: Error in checkForRemoteErrors(lapply(cl, recvResult)) : 8 nodes produced errors; first error: could not find function "fun" I am stuck and at the limit of my programming knowledge and am punting to the R-help list. Any suggestions are much appreciated. Anthony -- Anthony Steven Dick, Ph.D. Assistant Professor Department of Psychol...