[R] Computing sums of the columns of an array
Liaw, Andy
andy_liaw at merck.com
Fri Aug 5 18:52:39 CEST 2005
> -----Original Message-----
> From: r-help-bounces at stat.math.ethz.ch
> [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Uwe Ligges
> Sent: Friday, August 05, 2005 12:44 PM
> To: Duncan Murdoch
> Cc: r-help at stat.math.ethz.ch
> Subject: Re: [R] Computing sums of the columns of an array
>
>
> Duncan Murdoch wrote:
>
> > On 8/5/2005 12:16 PM, Martin C. Martin wrote:
> >
> >>Hi,
> >>
> >>I have a 5x731 array A, and I want to compute the sums of
> the columns.
> >>Currently I do:
> >>
> >>apply(A, 2, sum)
> >>
> >>But it turns out, this is slow: 70% of my CPU time is spent
> here, even
> >>though there are many complicated steps in my computation.
> >>
> >>Is there a faster way?
> >
> >
> > You'd probably do better with matrix multiplication:
> >
> > rep(1, nrow(A)) %*% A
>
>
> No, better use colSums(), which has been optimized for this purpose:
>
> A <- matrix(seq(1, 10000000), ncol=10000)
> system.time(colSums(A))
> # ~ 0.1 sec.
> system.time(rep(1, nrow(A)) %*% A)
> # ~ 0.5 sec.
With the dimension that Martin stated, I don't see much difference:
> A <- matrix(runif(5 * 731), 5)
> system.time(replicate(1e4, rep(1, nrow(A)) %*% A), gcFirst=TRUE)
[1] 5.28 0.13 5.46 NA NA
> system.time(replicate(1e4, rep(1, nrow(A)) %*% A), gcFirst=TRUE)
[1] 1.99 0.20 2.22 NA NA
> system.time(replicate(1e4, rep(1, nrow(A)) %*% A), gcFirst=TRUE)
[1] 1.97 0.25 2.28 NA NA
> system.time(replicate(1e4, rep(1, nrow(A)) %*% A), gcFirst=TRUE)
[1] 1.90 0.20 2.16 NA NA
> system.time(replicate(1e4, colSums(A)), gcFirst=TRUE)
[1] 1.53 0.22 1.75 NA NA
> system.time(replicate(1e4, colSums(A)), gcFirst=TRUE)
[1] 1.53 0.19 1.72 NA NA
> system.time(replicate(1e4, colSums(A)), gcFirst=TRUE)
[1] 1.51 0.19 1.70 NA NA
> system.time(replicate(1e4, colSums(A)), gcFirst=TRUE)
[1] 1.49 0.25 1.79 NA NA
However, I don't understand why the first try took so much longer.
Andy
> Uwe Ligges
>
>
>
> > Duncan Murdoch
> >
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