The docstring of `quantile`

in the `Statistics`

module says:

`quantile(itr, p; sorted=false)`

Compute the quantile(s) of a collection

`itr`

at a specified probability or vector or tuple of

probabilities`p`

on the interval [0,1]. The keyword argument`sorted`

indicates whether

`itr`

can be assumed to be sorted.

But `itr`

cannot actually be any iterable; only `<:AbstractVector`

or something that becomes that type after `collect`

, as seen in the “in-place” function `quantile!`

For instance, a `Matrix`

or more generally an `AbstractArray{T,N}`

where `N > 1`

is not accepted.

What would be the best way to calculate quantiles for such variables?

An obvious option is `quantile(x[:], p)`

, but this makes an unnecessary copy.

`quantile(view(x,:), p)`

would avoid the copy, but I don’t know if there something better.