In a message dated 10/20/03 5:11:25 AM Pacific Daylight Time,
[EMAIL PROTECTED] writes:
> Have you actually compared for loop with apply, in terms of timing? Have
> you looked at the R code for apply()? It has:
>
> <...>
> if (length(d.call) <2) {
> if (length(dn.call))
> dimnames(newX) <- c(dn.call, list(NULL))
> for (i in 1:d2) ans[[i]] <- FUN(newX[, i], ...)
> }
> else for (i in 1:d2) ans[[i]] <- FUN(array(newX[, i], d.call,
> dn.call), ...)
> <...>
>
> Notice the for loop there! While what you said about apply and for loop
> might be true for (older version of) Splus, it's not true for R.
>
> lapply() does do the looping at the C level. sapply and tapply uses lapply,
> so they can be faster than for loop at the R level.
>
> Andy
>
I have not done the comparison. Thanks a lot for point this out.
Anupam.
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