Comments (4)
I see that CategoricalArrays
only requires julia
and Compat
. Does this mean you would not wish to import a generic from StatsBase
?
from categoricalarrays.jl.
Sorry for not replying, I had totally missed this issue. I'm not sure this package is the best place to add these methods, since one can perfectly work with categorical data without CategoricalArray
. I'd rather have them in a (say) ModelsBase package, together with functions currently living in StatBase's src/statmodels/
directory.
@kleinschmidt What's your opinion regarding this?
from categoricalarrays.jl.
I agree. I think we'd also talked about incorporating the things in DataFrames src/statsmodels
, too, but I'm not sure whether that belongs in a ModelsBase
package since it's specific to tabular data.
from categoricalarrays.jl.
All of this is implemented in StatsModels now.
from categoricalarrays.jl.
Related Issues (20)
- `cut`: option to have `missing` as level HOT 15
- Can't precompile on Windows HOT 6
- Problem with unstack from DataFrames.jl on CategoricalVector HOT 4
- Compact printing in cut HOT 1
- Strange cut for imbalanced distributions HOT 1
- Conversion issue on nightly
- Add promotion rules for `CategoricalArray`s and views of `CategoricalArray`s
- Consider adding RecipesBase as a direct dependency HOT 2
- `categorical` with levels and recoding at once HOT 2
- Make `levels` return a `CategoricalArray` HOT 1
- Functions for changing levels HOT 2
- Error with constructor after Tables 1.8 HOT 3
- `ordered` vs `ordinal` HOT 3
- Define `value(x)` alternative to `DataAPI.unwrap(x)`
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- similar should not pirate Array Types in methods?
- docstring/repl issue in package development HOT 2
- `cut` into `Interval`s HOT 8
- Method ambiguities reported by Aqua
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from categoricalarrays.jl.