Given the vector:
a <- c(1,2,3)
I'm trying to calculate all vectors containing combinations from the elements in a, which is:
list(
a[c(1,2,3)],
a[c(1,3,2)],
a[c(2,1,3)],
a[c(2,3,1)],
a[c(3,1,2)],
a[c(3,2,1)])
This can be reproduced with:
df <- expand.grid(rep(list(a), length(a)))
nunique <- apply(df, 1, function(x) length(unique(x)))
df <- df[nunique == ncol(df), ]
as.list(as.data.frame(t(df)))
I tried doing this with the expand.grid
but this function gives permutations where elements can be repeated which results in extra large dataset and gives the error from below.
I have seen similar questions to this but fail to find a fast solution that doesn't produce error:
Error: cannot allocate vector of size 37.3 Gb
The error can be reproduced for:
a <- c(1,2,3,4,5,6,7,8,9,10)
You seem to want permutations, not combinations. Try the function permn()
from the package combinat
:
# Your first example:
combinat::permn(c(1, 2, 3))
#> [[1]]
#> [1] 1 2 3
#>
#> [[2]]
#> [1] 1 3 2
#>
#> [[3]]
#> [1] 3 1 2
#>
#> [[4]]
#> [1] 3 2 1
#>
#> [[5]]
#> [1] 2 3 1
#>
#> [[6]]
#> [1] 2 1 3
# Your second example
res <- combinat::permn(c(1,2,3,4,5,6,7,8,9,10))
It does take a while, though. And of course the object itself is going to be large:
system.time(res <- combinat::permn(c(1,2,3,4,5,6,7,8,9,10)))
#> user system elapsed
#> 14.661 0.448 15.346
pryr::object_size(res)
#> 639 MB