The splats can also be used as weights for local model fitting.

*Grimes

If you've ever wondered why medical research has so many Chesterton's Fences, or what it would actually take to "do your own research", this would be a good starting point. (The target audience of the book is doctors seeking to use published medical research.)

I did get the AMS. Not quite sure what I'm doing with it. Maybe some interesting possibilities mixing soft and hard materials.

I've heard good things about marble PLA.

with apologies to grugbrain.dev

Parquet format and the arrow library have been life changing.

(I suspect I should be getting on board with duckdb one of these days too.)

(Well, not exactly fine. A change to any single species abundance alters all of these ratios, so the null hypothesis could then be quite correctly rejected for all species!)

To be clear, I'm arguing semantics. I believe the software does *something* useful, it's just not being described clearly.

For example, it might look at the ratio of each species to the geometric mean as a baseline. This is fine, but that baseline's appropriateness needs to be checked.

Putting it through its paces. However I have more testing to do to really get to know this transformation.

logarithmic.net/varistran/ar...

I've put an implementation in my old varistran package. There is a numerical optimization per sample, but I can apply Newton's method so it's fast.

logarithmic.net/varistran/re...

Transform counts like log2(count/scale+1), with a scale chosen per sample such that each sample adds to the same total.

It's similar to CLR with a pseudocount, but all zeros transform to the same value.