I would like to run a PERMANOVA on the weighted unifrac distance matrix from the core metrics results from my data set. I want to see if any of the variables measured (metadata or map columns) significantly influence the difference in communities between samples.
However, some of my metadata is numerical, not categorical. When I tried to run these commands, it did not work.
The command I ran was as follows:
qiime diversity beta-group-significance
--o-visualization DOC_rarefied-core-metrics-results/ DOC_concentration-significance.qzv
The terminal response looked like this:
(1/2) Invalid value for '--m-metadata-file': Metadata column is of type
'numeric', but expected Categorical.
(2/2) Missing option '--o-visualization'. ("--output-dir" may also be used)
Is there anyway to run a PERMANOVA (or analogous method) on my data to see if any of the metadata significantly influence the difference in communities between samples? Another QIIME2 user recommended running an environmental fit vector. Might that work okay?
See attached file for my data.
DOC_map_contaminants_removed.tsv (2.0 KB)
Thanks so much for your help,