p-unc ? what should I correct?

[Yves33]

Hello,
Have an experimental design where I measure the response of neurons (id) from two groups (between var) to successive current steps (from 0 to 50pA, within var). Current steps are applied in increasing magnitude order to same cell (id).

my DataFrame looks like this

id | groups | 0 | 10 | 20 | 30 | 40 | 50
--------------------------------------------------------
 1 |  ctl   | 2 | 5  | 13 | 25 | 23 | 26
 2 | treat  | 3 | 5  | etc...
 3 |  ctl   | 4 | 1  | etc...

pg.mixed_anova() reports:

Source            SS    DF1    DF2       MS      F    p-unc    ng2      eps
-----------  -------  -----  -----  -------  -----  -------  -----  -------
groups       391.114      1      6  391.114  2.400    0.172  0.227  nan
current      405.450      9     54   45.050  6.866    0.000  0.233    0.214
Interaction  185.636      9     54   20.626  3.144    0.004  0.122  nan

Should I apply some kind of corrections to p-unc ? and which ones (mostly interested in interaction, obviously)?
(the p-values reported by R afex are sometimes much higher than those reported by pingouins)

Thanks

[raphaelvallat]

Hi @Yves33 — please see the Guidelines documentation page for the recommended test after a mixed anova. I'm closing this question as we cannot answer individual statistical questions from users.

Thanks
Raphael