Hi Josha,
I am not sure if there is a function like that in the standard library. But
you can use something like this
function rsplit!(v,r)
a = Array(Vector{eltype(v)},0)
while length(v) >= length(r)
push!(a, splice!(v,r))
end
!isempty(v) && push!(a, v)
return a
end
and use it like that
julia> v = rand(10)
10-element Array{Float64,1}:
0.471785
0.305048
0.407115
0.696377
0.157388
0.809052
0.282674
0.885787
0.0478649
0.268095
julia> rsplit!(v,1:3)
4-element Array{Array{Float64,1},1}:
[0.471785,0.305048,0.407115]
[0.696377,0.157388,0.809052]
[0.282674,0.885787,0.0478649]
[0.268095]
(If you don't want to have the last entry remove the !isempty(v)... line
or introduce a keyword to switch it on and off). Note that v is modified by
rsplit!
Alternatively you can reshape your vector and extract columns:
function rsplit( v, l::Int)
m = reshape(v,l,div(length(v),l))
return [m[:,i] for i=1:size(m,2)]
end
(Here you have to make sure that the length of v is a multiple of l)
Hope this helps,
Alex.
On Thursday, 21 May 2015 23:54:39 UTC+2, josha W wrote:
>
> R has a nice function 'split' can do this job. See the example below as
> reference.
>
> train_all =as.matrix(sample (1:254, 254))
> train_5_group<-split (train_all, rep (1:5), drop=true)
>
> Is there a similar function in julia?
>
>
>
