Reputation: 3184
In R, I can construct a matrix of random sample by
> replicate(10, sample(1:100,2))
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
[1,] 93 37 62 76 82 22 11 16 72 34
[2,] 95 21 13 48 59 49 38 100 90 27
Each column represents a pair of random sample from 1:100. I wonder if there is any Julia equivalence? I have tried the following
julia> [sample(1:100,2,replace=false) for i in 1:10]
10-element Array{Array{T,1},1}:
[96,53]
[3,31]
[14,23]
[21,46]
[78,76]
[58,64]
[35,85]
[95,99]
[88,42]
[93,31]
But it is array of array, not quite what I want.
Upvotes: 2
Views: 509
Reputation: 1843
You can use a two-dimensional comprehension:
[sample(1:100) for i in 1:2, j in 1:10]
Upvotes: 1
Reputation: 1406
I don't know if this is the best way, but you can modify your example with hcat
to get a matrix:
hcat([sample(1:100, 2) for i = 1:10]...)
Upvotes: 3