Hello,
I don't have a solution but see the difference between the two loops below.
for(j in 1:2)
for(i in 1:2){
cat(y[i,j], "\n")
cat(x[i,j][[1]], "\n")
cat(y[i,j] %in% x[i,j], "\n", "\n")
}
for(j in 1:2)
for(i in 1:2){
cat(y[i,j], "\n")
cat(x[i,j][[1]], "\n")
cat(y[i,j] %in% x[i,j][[1]], "\n", "\n")
}
So apparently y %in% x is equivalent to the first, but you want the second.
Note that the following doesn't work either.
y %in% x[[1]]
[1] TRUE FALSE FALSE FALSE
Rui Barradas
Citando Neal H. Walfield <n...@walfield.org>:
> I have a matrix of lists. Something along the lists of (but much
> bigger than):
>
> x = array(dim=c(2, 2), data=list())
> x[1,1] = list(1:5)
> x[2,1] = list(6:9)
> x[1,2] = list(10:13)
> x[2,2] = list(14:16)
>
> Each list contains a number of observations/ground truth for a
> particular state. That is, state <1,1> has observations <1,2,3,4,5>.
> States may have a different number of observations (which is why I'm
> not using an array).
>
> I have another numeric matrix with the same dimensions and I want to
> check if its values occur. Something along the lines of:
>
> y = array(dim=c(2, 2), data=c(1, 10, 11, 20))
>
> I want to do:
>
> y %in% x
>
> But it doesn't work as hoped. (I expect: c(T, F, T, F).)
>
> I realize that I can do this with sapply, but I was hoping for a
> faster / smarter solution. Any ideas?
>
> Thanks!
>
> :) Neal
>
> ______________________________________________
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