I have struggled to interpret the p-value from permanova in beta diversity analysis.
beta_bray_group_significance_new.qzv (514.5 KB)
unweighted-unifrac-sig.qzv (707.8 KB)
How can I interpret which group is significantly different from others by looking at the p-value?
Welcome to the forum!
Let's take as an example Bray Curtis test. In the first table you can see that the factor you tested significantly affected beta diversity (p-value). In the lower table with pairwise comparisons based on q-values (adjusted for multiple comparisons p-values) you also can see that all your groups (group1 and group 2 columns) are significantly different from each other.
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