JuliaData / CategoricalArrays.jl / 1410

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travis-ci

Improve handling of missing values in cut (#300)

Since `cut` propagates missing values, it is safe to skip them silently when
computing the quantiles. This was not possible in older versions of Statistics,
which only accepted arrays.

Also add some checks to print more explicit errors in corner cases.

Replace `allowmissing` argument with `extend=missing`.
`allowmissing` is used with a different meaning elsewhere. This could create confusion,
especially as `cut` always propagates missing values.
Also allow this even when the input array did not allow for missing values.

Improve docstrings a bit.

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