I have no idea of what your data looks like, so using random numbers and
only going for nr=1, after about a minute I stopped it. Here is what Rprof
showed:
/cygdrive/c/perf: perl c:/perf/bin/readRprof.pl Rprof.out 1
0 75.8 root
1. 75.7 sapply
2. . 75.7 lapply
3. . . 75.7 FUN
4. . . . 75.6 as.dist
5. . . . . 75.6 distance
6. . . . . . 75.6 distance.default
7. . . . . . . 75.4 apply
8. . . . . . . . 73.8 FUN
9. . . . . . . . . 73.8 switch
10. . . . . . . . . . 73.8 apply
11. . . . . . . . . . . 63.4 FUN
12. . . . . . . . . . . . 6.6 !
12. . . . . . . . . . . . 2.8 -
12. . . . . . . . . . . . 2.5 any
12. . . . . . . . . . . . 2.2 /
12. . . . . . . . . . . . 1.7 sum
12. . . . . . . . . . . . 1.6 *
11. . . . . . . . . . . 2.3 aperm
11. . . . . . . . . . . 1.0 unlist
8. . . . . . . . 1.5 join
This says almost all the time is in the 'distance' function. Try running
your data with 'nr' very small and see what happens.
On Tue, Jun 10, 2008 at 4:49 AM, Marc <[EMAIL PROTECTED]> wrote:
> Hi,
>
> I have the following function that I want to apply to a list of 14 matrices
> (1536 x 170) of binary data:
>
> DRes <- function(x, nr = 10000, metric = "mixed", ...) {
> require(analogue)
> require(ade4)
> m <- c()
> for (i in 1:nr) {
> set.seed(i)
> x1 <- x[, sample(dimnames(x)[[2]], length(x[1,])/2)]
> x2 <- x[, !dimnames(x)[[2]] %in% dimnames(x1)[[2]]]
> d1 <- as.dist(distance(as.data.frame(x1), method = metric))
> d2 <- as.dist(distance(as.data.frame(x2), method = metric))
> m[i] <- mantel.rtest(d1, d2, ...)$obs
> mean <- mean(m)
> std <- sd(m)
> res <- list(mean = mean, std = std)
> }
> return(res)
> }
> bias.dres <- sapply(bias, DRes)
>
> I run this code and after 3 hours is still running. I am on Windows XP and
> this is my sessionInfo()
> > sessionInfo()
> R version 2.7.0 Patched (2008-05-02 r45580)
> i386-pc-mingw32
>
> locale:
> LC_COLLATE=English_United Kingdom.1252;LC_CTYPE=English_United
> Kingdom.1252;LC_MONETARY=English_United
> Kingdom.1252;LC_NUMERIC=C;LC_TIME=English_United Kingdom.1252
>
> attached base packages:
> [1] stats graphics grDevices utils datasets methods base
> other attached packages:
> [1] analogue_0.5-1 vegan_1.11-4 ade4_1.4-7
> Any help will be very much appreciated.
> Marc.
>
> ______________________________________________
> R-help@r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html<http://www.r-project.org/posting-guide.html>
> and provide commented, minimal, self-contained, reproducible code.
>
--
Jim Holtman
Cincinnati, OH
+1 513 646 9390
What is the problem you are trying to solve?
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