Try this:
mode <- function(x, ...)
as.numeric(names(which.max(table(x))))
apply(array(unlist(mymats), dim = c(length(mymats), dim(mymats[[1]]))), 1:2,
mode)
On Tue, Sep 21, 2010 at 10:47 AM, Gregory Ryslik <rsa...@comcast.net> wrote:
> Hi Everyone,
>
> I am interested in taking the mode over several thousand matrices. I show
> an example below. For the [1,1] entry of my "mode" matrix that I want to
> create I would like to have a "2". For the [1,2] entry I would want a 2.
> For the [2,2] entry it would be 4 and so forth. Earlier, I was working with
> continuous cases and thus each (n,m) element was simply an average. I was
> able to then do element-wise addition and counting using the "Reduce"
> function and then the average would be totalsum/totalcount where the NA
> terms were discounted. Here, it's not exactly a binary case so Reduce
> doesn't quite work as well. I'm open to suggestions but would as always like
> to avoid long loops as that will significantly bump up running time over
> several thousand trees. Similarly, I would not like to do a lot of sorts to
> find the mode either...
>
> Thanks for your help!
>
> mymats
> [[1]]
> [,1] [,2] [,3]
> [1,] 0 2 1
> [2,] 2 3 3
> [3,] 2 1 2
>
> [[2]]
> [,1] [,2] [,3]
> [1,] 1 2 4
> [2,] 2 4 4
> [3,] 3 4 5
>
> [[3]]
> [,1] [,2] [,3]
> [1,] 2 3 1
> [2,] 3 4 2
> [3,] 5 1 3
>
> [[4]]
> [,1] [,2] [,3]
> [1,] 2 4 2
> [2,] 1 NA 2
> [3,] 2 3 1
>
> [[5]]
> [,1] [,2] [,3]
> [1,] NA 2 1
> [2,] 2 4 1
> [3,] 1 3 2
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>
--
Henrique Dallazuanna
Curitiba-Paraná-Brasil
25° 25' 40" S 49° 16' 22" O
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