Hi,
I have multiple three dimensional arrays.
Like this:
x1 - array(rnorm(1000, 1, 2), dim=c(10, 10, 10))
x2 - array(rnorm(1000, 1, 2), dim=c(10, 10, 10))
x3 - array(rnorm(1000, 1, 2), dim=c(10, 10, 10))
Now I would like to compute the mean for each corresponding cell.
As a result I want to
(x1+x2+x3)/3
I'm not aware of a pmean function but it wouldn't be hard to homebrew one if
you are comfortable with the ... argument
I'll draft one up and send it along
Michael Weylandt
On Oct 5, 2011, at 9:00 AM, Martin Batholdy batho...@googlemail.com wrote:
Hi,
I have multiple three
As promised
### Untested
pmean - function(...){
dotArgs - list(...)
l - length(dotArgs)
if( l == 0L ) stop(no arguments)
temp - dotArgs[[1]]
if ( l 1L ) {for(i in 2L:l) {temp - temp + dotArgs[[i]]}}
temp/l
}
Clunky but gets the job done. Its still too early for me to
Hi:
There are a few ways to do this. If you only have a few arrays, you
can simply add them and divide by the number of arrays. If you have a
large number of such arrays, this is inconvenient, so an alternative
is to ship the arrays into a list and use the Reduce() function. For
your example,
L
On Oct 5, 2011, at 8:14 AM, R. Michael Weylandt michael.weyla...@gmail.com
wrote:
(x1+x2+x3)/3
I'm not aware of a pmean function but it wouldn't be hard to
homebrew one if you are comfortable with the ... argument
I'll draft one up and send it along
pmean - function(lis)
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