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# parallel bootstrapping
pboot <- function(s, R=20000) {
source('nuclearBootstrapInit.R', local=TRUE)
chunkSize <- ceiling(R / workerCount(s)) # rounding up
task <- function(y) {
library(boot)
boot(nuke.data, nuke.fun, R=y, m=1, fit.pred=new.fit, x.pred=new.data)
}
eachWorker(s, task, chunkSize)
}
library(nws)
s <- sleigh()
results <- pboot(s)
for (r in results) {
get(getOption("device"))()
plot(r)
}
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