> whichmodel.sim <- make.simulation(reps = 8000,
+ design = equal.cover,
+ population.description = minkepop,
+ detectability = detect,
+ ds.analysis = strat.specific.or.not)
> crash.test <- run.simulation(whichmodel.sim, run.parallel = TRUE)
|++++++++++++++++++++++ | 43% ~01h 14m 48s Error: cannot allocate vector of size 1.1 Mb 11.
unserialize(node$con) 10.
recvData.SOCKnode(con) 9.
recvData(con) 8.
FUN(X[[i]], ...) 7.
lapply(cl[1:jobs], recvResult) 6.
staticClusterApply(cl, fun, length(x), argfun) 5.
clusterApply(cl = cl, x = splitList(X, nchunks), fun = lapply, FUN = fun, ...) 4.
do.call(c, clusterApply(cl = cl, x = splitList(X, nchunks), fun = lapply, FUN = fun, ...), quote = TRUE) 3.
PAR_FUN(cl, X[Split[[i]]], FUN, ...) 2.
pbapply::pblapply(X = as.list(1:simulation@reps), FUN = single.sim.loop, simulation = simulation, save.data = save.data, load.data = load.data, data.path = data.path, cl = myCluster, counter = FALSE) at run.simulation.R#96
1.
run.simulation(whichmodel.sim, run.parallel = TRUE)