Hi,
I want to impute a data set multiple times with Amelia, 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 and parallel
processing, so any help would be greatly appreciated!
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