How can I avoid nested 'for' loops or quicken the process?

Hi All,

I'm still pretty new to using R - and I was hoping I might be able to get
some advice as to how to use 'apply' or a similar function instead of using
nested for loops.

Right now I have a script which uses nested for loops similar to this:

i <- 1
for(a in Alpha) { for (b in Beta) { for (c in Gamma) { for (d in Delta) {
for (e in Epsilon)
 {
      Output[i] <- MyFunction(X, Y, a, b, c, d, e)
       i <- i+1
 }}}}}


Where Output[i] is a data frame, X and Y are data frames, and Alpha, Beta,
Gamma, Delta, and Epsilon are all lists, some of which are numeric, some
logical (TRUE/FALSE).

Any advice on how to implement some sort of solution that might be quicker
than these nested 'for' loops would be greatly appreciated.

Thanks!

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