Florian Charlier

Hello, I'm happy to be listed as a maintainer!

Some might be interested in the 'reference' value to which permutations results are compared, the one resulting from the experiment groups.

Hello @inqlee0704 , thanks for the PR! Can you describe in what cases this is relevant? Do you perhaps have an example to share where this happened?

Hello Erica, Thanks for giving a shot and going the extra mile to make this work ;) Also thank you because I think there is an improvement to make to...

I'll close this then, @ericabello, but don't hesitate to come back if something is still unclear. Also, we haven't got examples of such plot design in the gallery, so please...

Hello Erica @ericabello, Thanks for following up. I'm glad you made it successfully! You can safely ignore this warning (see here for details on it and how to silence it...

Hello, @inqlee0704, Thanks for the question. I'll assume that the plot is OK if shown without annotations. It seems to be thinking that there is a need to plot data...

Hmmm.... Can you please show seaborn's plot without the annotations and with outliers ? So, only ```python plt.figure(figsize=(15,8)) sns.boxplot(x=x,y=y, hue=hue,data=df) plt.show() ``` Also, do you have the problem with any...

I think it can be done rather simply, maybe with something like ```py class Annotator: ... def apply_test(self, num_comparisons='auto', pairs_stats_params=None, **stats_params): ``` called with ```py # if there were two...

Hi, thank you for your message. At the moment, statannotations would work for Nx2 contingency tables. However, support for higher dimensions would be very useful (also for ANOVA, KW, and...