Try this:
apply(array(unlist(mymats), dim = c(dim(mymats[[1]]), length(mymats))),
1:2, mode)
The error was in c(length(mymats), dim(mymats[[1]]))
On Tue, Sep 21, 2010 at 3:19 PM, Gregory Ryslik <rsa...@comcast.net> wrote:
> Ack, apologies for the previous email. What I meant to say is that the
> first element is calculated incorrectly (1,1) should be 2, instead it is 3.
> I've been staring at the code for two long. I've copied it in again for
> convenience.
>
> mymats <- vector('list', 4)
> set.seed(246)
>
> # Generate a list of 4 3 x 3 matrices
> for(i in 1:4) mymats[[i]] <- matrix(sample(1:9), nrow = 3)
>
> mymats[[1]][1,1]<-3
> mymats[[1]][1,2]<-3
> mymats[[1]][1,3]<-1
> mymats[[2]][2,1]<-2
> mymats[[1]][2,2]<-3
> mymats[[1]][2,3]<-1
> mymats[[1]][3,1]<-2
> mymats[[1]][3,2]<-2
> mymats[[1]][3,3]<-3
>
> mymats[[2]][1,1]<-2
> mymats[[2]][1,2]<-3
> mymats[[2]][1,3]<-2
> mymats[[2]][2,1]<-1
> mymats[[2]][2,2]<-2
> mymats[[2]][2,3]<-2
> mymats[[2]][3,1]<-1
> mymats[[2]][3,2]<-3
> mymats[[2]][3,3]<-2
>
> mymats[[3]][1,1]<-NA
> mymats[[3]][1,2]<-2
> mymats[[3]][1,3]<-2
> mymats[[3]][2,1]<-2
> mymats[[3]][2,2]<-3
> mymats[[3]][2,3]<-1
> mymats[[3]][3,1]<-2
> mymats[[3]][3,2]<-2
> mymats[[3]][3,3]<-3
>
> mymats[[4]][1,1]<-2
> mymats[[4]][1,2]<-1
> mymats[[4]][1,3]<-2
> mymats[[4]][2,1]<-3
> mymats[[4]][2,2]<-2
> mymats[[4]][2,3]<-3
> mymats[[4]][3,1]<-1
> mymats[[4]][3,2]<-2
> mymats[[4]][3,3]<-1
>
> mymats
>
>
> 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 Sep 21, 2010, at 10:08 AM, Henrique Dallazuanna wrote:
>
> 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
>> ______________________________________________
>> 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
>> and provide commented, minimal, self-contained, reproducible code.
>>
>
>
>
> --
> Henrique Dallazuanna
> Curitiba-Paraná-Brasil
> 25° 25' 40" S 49° 16' 22" O
>
>
>
--
Henrique Dallazuanna
Curitiba-Paraná-Brasil
25° 25' 40" S 49° 16' 22" O
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