Hi @mortonjt,
Certainly! The code that I used to generate the regression summary is the following:
##removing observations with 0 counts
qiime feature-table filter-features \
--i-table combined-table-nmc-table.qza \
--p-min-frequency 100 \
--o-filtered-table combined-min100feature-filtered-table.qza
qiime gneiss correlation-clustering \
--i-table combined-min100feature-filtered-table.qza \
--o-clustering combined-min100-filtered-hierarchy.qza
qiime gneiss ilr-hierarchical \
--i-table combined-min100feature-filtered-table.qza \
--i-tree combined-min100-filtered-hierarchy.qza \
--o-balances combined-min100-balances.qza
qiime gneiss ols-regression \
--p-formula "DAI+AFDW+biomass_prod+DO+precip_roll3+wind_dir+temp+wind_speed_roll3" \
--i-table combined-min100-balances.qza \
--i-tree combined-min100-filtered-hierarchy.qza \
--m-metadata-file combined_meta_010719_blanks.txt \
--o-visualization combined_min100_norun_regression_summary.qzv \
--verbose
I've uploaded the two artifacts and metadata file used for the final ols-regression step to the dropbox link here: Dropbox
I've included the qzv summary file that I am comparing to the csv output from the same in there as well. Thanks so much for your help.
Seth