Hey @saatkinson,

Thanks! I was able to re-run your command to look at the results.

For the figures, the `n`

doesn't represent the number of samples, but rather the number of pairwise comparisons that make up the distribution for the metric that the box-plot represents. For example, your `2920X_Control`

vs `2920X_Control`

has a sample-size of 7, and so the number of possible pairwise comparisons would be \frac{7 * (7-1)}{2} = 21 which matches what we see in the second figure. To state it another way, since metrics are pairwise comparisons, a distribution/boxplot of metric distances must be a distribution/boxplot of pairwise comparisons.

Also, at the bottom where the pairwise permanova results are, the sample size is the number of samples compared (so 7 + 7 for the same `2920X_Control`

vs `2920X_Control`

).

Let me know if that makes sense!