I have a dataFrame variable:
L1 L2 L3 ... v1 v2 ...
1
2
3
4
...
I want to process subsets of it as defined by combinations of L1-L2-L3. I do
it successfully using nested loops:
for (i in valuesOfL1 {
for (j in valuesOfL2) {
for (k in valuesOfL3) {
tempData <- subset(dataFrame, (L1 == i & L2 == j & L3 == k,
select=c(v1,v2) ))
if (dim(tempData)[1]>0) # does this combination of L1-L2-L3 contain
any data?
{ process(tempData) }
}
}
}
It works fine but:
1. I'm sure there can be more efficient solution
2. each time I want to change criteria (i.e. subset by less or more Ls) I
have to manually change number of nested loops in my code.
Is there a more flexible way to do it?
Thanks
--
View this message in context:
http://n4.nabble.com/flexible-alternative-to-subsetting-dataframe-inside-nested-loops-tp1680580p1680580.html
Sent from the R help mailing list archive at Nabble.com.
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
