On Sat, Aug 28, 2021, 8:34 AM Stephen J. Turnbull < stephenjturnb...@gmail.com> wrote:
> David Mertz, Ph.D. writes: > > > NANs do not necessarily represent missing data. > > > I think in the context of `stats` they do. But this is color of > bikeshed, and I defer to you, of course. > > I have a distribution for you: Cauchy. :-) > Oh? Because NaN is the *result* of `stats.variance(cauchy)`? It still seems like as INPUTS to a stats function NaN ~= missing.
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