Making sense of (buf)stats

[rodrigo.constanzo]

@rodrigo.constanzo

What statistics are meaningful to extract here? It looks like the median of pitch would work in this particular example, but should I weigh that against a confidence metric? So perhaps something like taking all of the points at which the confidence is in the 80th percentile, and then taking a median (or mean?) of the actual pitch from that reduced dataset??

Is something like that possible with fluid.bufstats~ ?

On thinking about this further, I guess I could use fluid.bufstats~ to find out what the 80th percentile is, then use @weefuzzy’s abstraction to dump out the entire buffer into list land, and use logic to reduce/regroup everything back into a single list and then either zl median it, or dump it all back into the bufstats~ universe (uzi → poke?).

So I guess that is possible, but it does involve lots of “in between” steps going out/in of the fluid.-verse to do something like this.

I’m sure there will be other statistical problems that will come up too, so hoping for more robust stats~ to handle cases like this.