Thanks for the help. That explains why my time testing showed no
difference. Is there any way to speed up the program? It is unbearably
slow if I increase the number of loops.
Mike
On Wed, Apr 23, 2008 at 6:23 PM, hadley wickham <[EMAIL PROTECTED]> wrote:
> On Wed, Apr 23, 2008 at 4:23 PM, Mike Dugas <[EMAIL PROTECTED]> wrote:
> > The answer to my post is yes (which I just figured out).
> >
>
> Switching from for to apply isn't going to speed up your code. If you
> carefully read the source code of apply, you'll see the guts of the
> work is done by:
>
> for (i in 1:d2) {
> tmp <- FUN(array(newX[, i], d.call, dn.call), ...)
> if (!is.null(tmp))
> ans[[i]] <- tmp
> }
>
> i.e apply uses for internally. The reason to use apply instead of a
> for loop is so that you can better express the intent of your
> algorithm.
>
> Hadley
>
>
> --
> http://had.co.nz/
>
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