I’ve also attached the qiime composition ancom. tsv output from comp_tax_level6_Year1_Merged_table.qza which has pseudocounts and the. Does this apply to my data? There are low abundance features and I want to make sure I understand what is going on. While searching the forums I came across this explanation. While qiime composition ancom does produce a result, I am curious as to the reason behind this. home/dcurtis/miniconda3/envs/qiime2-2019.10/lib/python3.6/site-packages/scipy/stats/sta ts.py:3235: RuntimeWarning: invalid value encountered in double_scalars Qiime composition ancom -i-table Year1_ANCOM/comp_tax_level6_Year1_Merged_table.qza -m-metadata-file turf_metadata3.tsv -m-metadata-column grouping -o-visualization Year1_ANCOM/comp_tax_level6_Year1_Merged_table.qzv -verbose While running the ANCOM analysis on my 16S data set I get the following error when running
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