using parallel’s parLapply: unable to access variables within parallel code

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You need to export those variables to the other R processes in the cluster:

cl <- makeCluster(mc <- getOption("cl.cores", 4))
clusterExport(cl=cl, varlist=c("text.var", "ntv", "gc.rate", "pos"))

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