Previously in QIIME I used “observation_metadata_correlation.py” to see if any of my species were associated with my continuous metadata variables.
In a post on a different topic (checkerboard) @Nicholas_Bokulich said “I think the reason is that the checkerboard score may not be appropriate for compositional data. That is the reason why none of the correlation methods used in
observation_metadata_correlation.py were ported over).”
So my question is, how do I look for relationships with continuous data. It is my understanding that ANCOM and gneiss struggle with continuous data. My data is ITS so not suitable for anything requiring phylogenies
Any advice would be gratefully received.