JuliaData / CategoricalArrays.jl / 209

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Add cut function (#46)

Freely inspired by the DataArrays implementation. Differences:
- include lower bound instead of upper bound (consistent with R's
Hmisc::cut2 and Numpy's digitize, and more useful for positive variables)
- raise an error by default if some values are out of bounds, which avoids
computing extremas when not needed
- support transforming out of bounds values into nulls
- accept custom labels

Unfortunately, `cut(x, ngroups::Integer)` doesn't work for NullableArray
since they do not support quantile() yet.

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