Reputation: 2796
Consider the following 3-dimensional array:
set.seed(123)
arr = array(sample(c(1:10)), dim=c(3,4,2))
which yields
> arr
, , 1
[,1] [,2] [,3] [,4]
[1,] 10 9 8 2
[2,] 5 1 4 10
[3,] 6 7 3 5
, , 2
[,1] [,2] [,3] [,4]
[1,] 6 7 3 5
[2,] 9 8 2 6
[3,] 1 4 10 9
I'd like to subset it like
arr[c(1,2), c(2,4), c(1)]
but the catch is that I don't know (a) which indices or (b) which dimension the indices are.
What is the best way to access an N-dimensional array with index variables?
ll = list(c(1,2), c(2,4), c(1))
arr[ll] # doesn't work
arr[grid.expand(ll)] # doesn't work
# ..what else?
Upvotes: 4
Views: 336
Reputation: 89057
There is the asub
function from the abind
package:
library(abind)
asub(arr, ll)
which can also do a lot more, in particular extract along a subset of the dimensions (https://stackoverflow.com/a/17752012/1201032). Worth having in your toolbox.
Upvotes: 1
Reputation: 55350
use do.call
, such as:
do.call(`[`, c(list(arr), ll))
getArr <- function(...)
`[`(arr, ...)
do.call(getArr, ll)
[,1] [,2]
[1,] 10 5
[2,] 7 3
Upvotes: 3