Hi @mortonjt,
Thank you for your prompt reply and feedback! I am glad to know that I am on the right track.
The input biom table was created on Qiime2, and then I used Songbird standalone for the analysis. As a side note, I do get the following error message when running TensorBoard:
W1012 14:44:26.655411 123145334247424 plugin_event_accumulator.py:323] Found more than one graph event per run, or there was a metagraph containing a graph_def, as well as one or more graph events. Overwriting the graph with the newest event.
When there is more than 3 models (the null and 2 more) the cross validation graphs only present information for 2 runs (null and full model in this case). Please see pictures below. Is there a way of changing the settings to show all runs?
Also, what are you looking for when evaluating the qbeta plots?
Regarding the effect of each covariate in the model, is there a coefficient equivalent to the R2diff (used in Gneiss) to evaluate how each covariate affects the model?
Thanks again, Joao