Hi folks!
Somehow I still write crappy code which is awefully
slow. Maybe as a case study,
could anybody give me a hint on how to improve the
following code for speed? d
is a 360x500 matrix.
Basically, each group of 5 columns represent a run.
For each run I aggregate
some columns, find which bins each row is in according
to column 2, and count
the number of occurrances within each bin.
Additionally, I want to find the
median of the aggregated columns values over the rows
of a bin and then for each
bin.
brks <- c(0, 25000, seq(125000,1500000,by=100000))
noBins = length(brks)-1
for (r in 1:100) {
dsumcost[,r] <- rowSums(d[,((r-1)*5+3):((r-1)*5+5)])
dbins <- findInterval(d[,(r-1)*5+2],brks)
for (b in 1:noBins) {
ids2 <- which(dbins==b)
if (length(ids2)>0) {
medCostBin[r,b] <-
median(dsumcost[ids2,r]/d[ids2,(r-1)*5+2])
noInBin[r,b]<-sum(dbins==b)
} else {
medCostBin[r,b] <- 0
noInBin[r,b] <- 0
}
}
}
Thank you for your consideration!
Best,
Werner
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