Hi -
platform powerpc-apple-darwin6.8
status
major1
minor9.0
year 2004
I am trying to deal with the output of apply(). As indicated, when
each call to 'FUN' returns a vector of length 'n', then 'apply'
returns an array of dimension 'c(n, dim(X)[MARGIN])'. However, I would
like
Hi,
Why not try with the data.frame structure, wich internally yet consists in
a list:
lapply(as.data.frame(m1),function(x) which(x==1))
$V1
[1] 8 9
$V2
[1] 9 10
[...]
Eric
At 12:53 23/06/2004, Andrew Beckerman wrote:
Hi -
platform powerpc-apple-darwin6.8
status
major1
minor9.0
year
Thanks eric... I figured this routine out as well.
cvt-function(dat){
x-as.list(rep(0,dim(dat)[2]))
for(i in 1:dim(dat)[2]){
x[[i]]-dat[,i]
x}}
# get ragged array of 1's
dat-apply(mat,2,function(x) which(x==1))
# deal with this using cvt to creat list
if(is.null(dim(dat))) dat2-dat else
