library("future")
library("listenv")
##computeNodes <- c("cauchy", "leibniz", "bolzano", "shannon", "euler", "hamming", "bernoulli")
#plan(remote, workers = rep("bernoulli", 100))
#plan(eager)
plan(multiprocess, workers = 10)
#res <- listenv()
for (ii in 1:nrow(configs)) {
pi0 <- configs[ii, "pi0"]
dep <- configs[ii, "dep"]
SNR <- configs[ii, "SNR"]
kMaxs <- c(max(2, round(2*m*(1-pi0))), 2, 10, m)
kMaxs <- unique(kMaxs)
tags <- sprintf("pi0=%s,dep=%s,SNR=%s", pi0, dep, SNR)
print(tags)
filename <- sprintf("%s.rds", gsub("\\.", "_", tags))
pathname <- file.path(path, filename)
sfilename <- sprintf("%s,SMC.rds", gsub("\\.", "_", tags)) ## stratified Monte-Carlo
spathname <- file.path(path, sfilename)
mfilename <- sprintf("%s,molten.rds", gsub("\\.", "_", tags))
mpathname <- file.path(path, mfilename)
if (file.exists(mpathname)) {
next;
} else {
## using futures =)
res <- listenv()
options("future.wait.times"=1e4)
for (ss in 1:nbSimu) {
if (ss %% 100==0) { print(ss);}
res[[ss]] %<-% {
library("sansSouci")
pathname <- system.file("BNR/testStepDown.R", package="sansSouci")
stopifnot(file.exists(pathname))
source(pathname); rm(pathname)
testStepDown(m, dep, B, pi0, SNR, "constant", alphas, kMaxs=kMaxs, flavor=simFlavor)
}
}
## summarize into JFWER and Power estimates
mres <- reshape2::melt(as.list(res)) ## how to do this with purrr::map or friends?
names(mres) <- c("risk", "flavor", "value", "family", "kMax", "alpha", "sid")
saveRDS(mres, file=mpathname)
## NB: 'mres' is not tidy!
}
}
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.