[R] Help with "apply"
Dennis Murphy
djmuser at gmail.com
Fri May 13 04:01:26 CEST 2011
Hi:
Are you *sure* that's what you want to do?
> y - x[,5] * gtemp[5]
[1] 0.10116205 2.46220119 3.04966544 0.56074569 -1.14872521 -0.89275228
[7] 3.52161381 0.64880894 0.70167063 -0.06120996
> identical(as.vector(ycorr), y - x[,5] * gtemp[5])
[1] TRUE
Perhaps you ought to explain what you are trying to compute, because
your inner loop is returning y[i] - x[, 5] * gtemp[5] for each i,
where 5 = ncol(x).
Dennis
On Thu, May 12, 2011 at 2:23 PM, M.Ribeiro <mresendeufv at yahoo.com.br> wrote:
> Hello R gurus,
>
> I have a simple routine using for loops that i was just trying to make it
> faster
>
> y <- rnorm(10)
> Nindiv <- 10
> x <-matrix(sample(c(0:2),50,re = T),10)
> gtemp <- rnorm(10)
> ycorr <- array(0,c(Nindiv,1))
> for (i in 1:Nindiv) {
> for (k in 1:ncol(x)) {
> ycorr[i] <- y[i] - x[i,k]*gtemp[k]
> }
> }
>
> It works fine but I wanted to make it faster and I think an apply function
> could probably solve this problem.
> Any suggestions? Thanks
>
> --
> View this message in context: http://r.789695.n4.nabble.com/Help-with-apply-tp3518773p3518773.html
> Sent from the R help mailing list archive at Nabble.com.
>
> ______________________________________________
> R-help at 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
> and provide commented, minimal, self-contained, reproducible code.
>
More information about the R-help
mailing list