Michael Krabbe Borregaard
Michael Krabbe Borregaard
I think of this like a couple of separate issues, as you mention yourself. StatsMakie (and StatsPlots) have suffered a bit from scope creep, and now is a package with...
@sethaxen you can get a good impression of the considerations behind the design here by reading the discussion on this PR: https://github.com/JuliaPlots/StatsMakie.jl/pull/7 and this previous issue https://github.com/JuliaPlots/Plots.jl/issues/1530
This type of grouping is not part of grouping APIs because it's statistically invalid, and the approach listed leads to pseudoreplication. I am a strong believer in that your plots...
I'd say two separate, much clearer
I don't think `disallowmissing` should be the first choice. `missing` values are part of Base Julia now, and they should be first-class citizens, treated mostly like NaNs.
Could be something with the `clims`- can you try to adjust those manually?
It'd be more ideomatic to have `density(Normal())` work like `plot` though, wouldn't it?
Yes, Plots supports missing values out-of-the-box, but by converting them to `NaN`s. Given that boxplots don't support NaNs we get this issue. It would make sense to `filter(isfinite, data)` here...
Really awesome @sethaxen It has been very organic - it started as a way to avoid DataFrames as a dep back when that was huge, and now the purpose is...
The issue here doesn't seem to be with the bounds though, but rather an issue with the `adapted_grid` inference of internal points to realise the function over? I'm puzzled by...