Hi Qiime people,
I know that normally the point of beta diversity tests is to tell you that two groups are significantly dissimilar (in around about hypothesis rejection way) but I have the issue where I want to say two groups are significantly SIMILAR. I have a PERMANOVA result pasted below where two groups seem to be more similar to each other (C and carnivore) than the other two groups based on the distances and the F values. On the PCOA plot it is also apparent. However, I want to quantitively state that they are. The two options I see are ranking the distance values given by the test to show that two groups have significantly lower distances than the rest OR to compare the F values and show that two groups have significantly lower pseudo F values when comparing one to the other (basically comparing effect sizes).
My question is, do any of these two methods work to show significant "similarity" or is there a better test out there?