I've looked through ?split and run all of the code, but I am not sure that I
can use it in such a way to make it do what I need. Another suggestion was
using "lists", but again, I am sure that the process can do what I need, but
I am not sure it would work with so many observations.
I might have been too simple in my code. Let me try to explain it more
clearly:
I've got a data set of 4500 observations. I have already subset it into
race/ethnicity (which I did by simple code). Now I needed to subset each
race/ethnicity again into 9 separate regions. I again did this by simple
code.
The problem is now, I need to calculate a percentage for three different
variables for all 9 regions for each race. I was trying to do this through
a loop command.
So a snippet of my code is :
names <- c("white", "black", "asian", "hispanic")
for(j in 1:length(names)){
for(i in 1:9){
names[j].cd[i].es.wash <- subset(names[j].cd[i], SLUNCH==1)
es.cd[i].names.w <-
sum(names.cd[i].es.wash$NWEIGHT)/sum(names.cd[i]$NWEIGHT)
}
}
Maybe that makes it clearer. If not, I apologize. Thanks for the help that
I have already received. It is greatly appreciated.
Tony
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