ts.getdata = function (set=NULL, from.file=T, variables=NULL, plottimes=NULL, regions=NULL, do.parallel=F, fname="all", custom="normal", clusters=NULL, libs=NULL, cltype="SOCK" ) {
outfile1 = paste( "byyear", fname, "rdata", sep=".")
outfile2 = paste( "bystrata", fname, "rdata", sep=".")
if (custom != "normal" ) {
outfile1 = paste( "byyear", custom, fname, "rdata", sep=".")
outfile2 = paste( "bystrata", custom, fname, "rdata", sep=".")
}
R.gs = file.path( project.datadirectory("bio.groundfish"), "R" )
if (from.file) {
load ( file.path(R.gs, outfile1 ) )
} else {
bystrata = byyear = ts.yr = NULL
nid = length(regions)
if (!do.parallel) {
res = get.ts.core( set=set, do.parallel=F, regions=regions, plottimes=plottimes, variables=variables, custom=custom , libs=libs)
byyear = res$byyear
bystrata = res$bystrata
} else {
cl = makeCluster( spec=clusters, type=cltype)
ssplt = lapply( clusterSplit(cl, 1:nid), function(i) i ) # subset data into lists
ts.snow = clusterApplyLB( cl, ssplt, get.ts.core, set=set, do.parallel=T, regions=regions, plottimes=plottimes, variables=variables, custom=custom, libs=libs )
stopCluster(cl)
byyear = bystrata = NULL
for (m in 1:length(ts.snow)) {
byyear = rbind( byyear, ts.snow[[m]]$byyear)
bystrata = rbind( bystrata, ts.snow[[m]]$bystrata)
}
} # end parallel
save(byyear, file=file.path(R.gs, outfile1), compress=T )
save(bystrata, file=file.path(R.gs, outfile2), compress=T )
} # end if from file
return(byyear)
}
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