I think that we probably need a sample database of your original data.
A few lines of the dataset would probably be enough as long as it was fairly
representative of the overall data set. See ?dput for a way of conveniently
supply a sample data set.
Otherwise off the top of my head, I would think that you could just put all
your subsets into a list and use lapply but I'm simply guessing without seeing
the data.
--- On Mon, 11/9/09, agm. <amur...@vt.edu> wrote:
> From: agm. <amur...@vt.edu>
> Subject: Re: [R] Complicated For Loop (to me)
> To: r-help@r-project.org
> Received: Monday, November 9, 2009, 3:18 PM
>
> 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
>
> --
> View this message in context:
> http://old.nabble.com/Complicated-For-Loop-%28to-me%29-tp26269479p26272994.html
> Sent from the R help mailing list archive at Nabble.com.
>
> ______________________________________________
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