Hi Isaac, Perhaps this is too simple an answer, but I think you might be missing the "library(Amelia)" call at the beginning of the script. When I add that to the top of the snippet, the code runs clean on my machine. Please let us know if that does not fix the problem. Hope that helps! Cheers, matt. ~~~~~~~~~~~ Matthew Blackwell PhD Candidate Institute for Quantitative Social Science Department of Government Harvard University url: http://www.mattblackwell.org On Monday, February 27, 2012 at 9:44 AM, Matt Blackwell wrote: Hi Isaac, Perhaps this is too simple an answer, but I think you might be missing the "library(Amelia)" call at the beginning of the script. When I add that to the top of the snippet, the code runs clean on my machine. Please let us know if that does not fix the problem. Hope that helps! Cheers, matt. ~~~~~~~~~~~ Matthew Blackwell PhD Candidate Institute for Quantitative Social Science Department of Government Harvard University url: http://www.mattblackwell.org On Tuesday, February 21, 2012 at 1:48 PM, Isaac Petersen wrote: Hi, I want to impute a data set multiple times, but the data set is large so it takes a long time. As a result, I'm trying to run the multiple imputation with parallel processors in Windows, but am having trouble. Here is a quick example: ###### library(foreach) library(doSNOW) registerDoSNOW(makeCluster(4, type = "SOCK")) getDoParWorkers() getDoParName() getDoParVersion() data(africa) iterations <- 4 foreach(i = 1:iterations) %dopar% { amelia(x = africa, m=1, cs = "country", ts = "year", logs = "gdp_pc") } ###### When I run the foreach loop, I receive the following warning Error in { : task 1 failed - "could not find function "amelia"" This is a bizarre error because I have loaded the amelia package and can impute data sets fine outside of the foreach loop. Moreover, if I change %dopar% to %do% to run the imputations in sequence rather than in parallel, the imputations run fine with no errors. How do I get Amelia to impute one data set (m=1) on each of 4 different processors. Finally, how do I combine the data sets after imputing them in parallel -- I assume using the ameliabind() function? How can I do this? Thanks for all your help. By the way, I'm new to Amelia, so any help would be greatly appreciated! -- Amelia mailing list served by HUIT [Un]Subscribe/View Archive: http://lists.gking.harvard.edu/?info=amelia More info about Amelia: http://gking.harvard.edu/amelia Amelia mailing list Amelia(a)lists.gking.harvard.edu https://lists.gking.harvard.edu/mailman/listinfo/amelia