[SciPy-Dev] (M)ANOVA, and deprecating stats.f_value* functions

[Abraham Escalante]

You can find the corresponding PR here: gh-4968
<https://github.com/scipy/scipy/pull/4968>

Cheers,
Abraham.

2015-06-14 15:50 GMT-05:00 Ralf Gommers <ralf.gommers at gmail.com>:

> Hi all,
>
> In scipy.stats there are three functions that calculate various
> F-statistics for inputs obtained from univariate or multivariate ANOVA.
> These are f_value, f_value_multivariate and f_value_wilks_lambda:
> https://github.com/scipy/scipy/blob/master/scipy/stats/stats.py#L4603-L4683
>
> The problem with those is that they're not very useful standalone. f_value
> implements a statistic that's also calculated and given as a return by
> f_oneway (which does one-way ANOVA). The other two functions are related to
> multivariate ANOVA, for which scipy.stats doesn't provide any functionality.
>
> At the moment Statsmodels provides a lot more ANOVA functionality than
> scipy.stats does, and I agree with Josef [1, 2] that adding new
> functionality in this area to Statsmodels would fit better than adding it
> to Scipy. There's also a recent proposal [3] for M-way repeated ANOVA to be
> added to scipy.stats. That could be added to Statsmodels instead (my
> preference). If we do want to add it to Scipy, we need to have a clear list
> of what else is needed to create a coherent set of functions in this area.
>
> Thoughts?
>
> Ralf
>
> [1] https://github.com/scipy/scipy/issues/650
> [2] https://github.com/scipy/scipy/issues/660
> [3] https://github.com/scipy/scipy/issues/4913
>
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>
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