It looks like you are trying to construct a ragged array, where the extent of
the dimensions varies.
However, in R, ordinary arrays have a regular structure, e.g., the rows of a
matrix always have the same number of columns. This is the kind of object
abind() constructs.
So, to bind your two matrices together, abind() requires that their dimensions
match
a <- matrix(1:6, ncol=3, byrow=T)
b <- matrix(7:10, ncol=2, byrow=T)
a
[,1] [,2] [,3]
[1,] 1 2 3
[2,] 4 5 6
b
[,1] [,2]
[1,] 7 8
[2,] 9 10
library(abind)
abind(a, b, along=3)
Error in abind(a, b, along = 3) :
arg 'X2' has dims=2, 2, 1; but need dims=2, 3, X
The only way to get abind to bind these together on the third dimension is to
pad out the smaller matrix with NA's, e.g.:
abind(a, cbind(b, NA), along=3)
, , 1
[,1] [,2] [,3]
[1,] 1 2 3
[2,] 4 5 6
, , 2
[,1] [,2] [,3]
[1,] 7 8 NA
[2,] 9 10 NA
('a' and 'b' do match on the number of rows, so you can bind them together as
columns as does cbind(), e.g.:
abind(a, b, along=2)
[,1] [,2] [,3] [,4] [,5]
[1,] 1 2 3 7 8
[2,] 4 5 6 9 10
)
If none of this is what you want, you could consider storing the matrices in a
list, as another poster suggested.
-- Tony Plate
Suyan Tian wrote:
I am trying to combine two arrays with different dimensions into one.
For example
The first one is
1 2 3
4 5 6
The second one is
7 8
9 10
The resulted one would be like
, , 1
1 2 3
4 5 6
, , 2
7 8
9 10
I used abind to do this, but failed. Could somebody please let me know
how to do this in R? Thanks so many.
Suyan
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and provide commented, minimal, self-contained, reproducible code.
