Hi,
I am trying to use the circ_vtest to check whether the instantaneous phase of local field potential signal (human brain recordings) averages around 180 degrees or not.
Since I have 30000 data points for each contact/group, I get either very significant (zero) p value or very non significant (one) values. Because of the high number of samples it seems that even if the mean phase is around 120 and the vector (R) is very short (wide distribution around the mean) - the test still gives low (very significant) p values.
Am I missing something? Is there a better way of doing that? Shouldn't the length of R have a larger impact on the test?
I also tried to use circ_wwtest to compare between 6 different distributions of phase, but I could not find any script for post-hoc multiple comparisons between the grouops assuming the "ANOVA" is significant and the groups are different from one another..?
Thank you! great toolbox!
Idit.
Hi,
I am trying to use the circ_vtest to check whether the instantaneous phase of local field potential signal (human brain recordings) averages around 180 degrees or not.
Since I have 30000 data points for each contact/group, I get either very significant (zero) p value or very non significant (one) values. Because of the high number of samples it seems that even if the mean phase is around 120 and the vector (R) is very short (wide distribution around the mean) - the test still gives low (very significant) p values.
Am I missing something? Is there a better way of doing that? Shouldn't the length of R have a larger impact on the test?
I also tried to use circ_wwtest to compare between 6 different distributions of phase, but I could not find any script for post-hoc multiple comparisons between the grouops assuming the "ANOVA" is significant and the groups are different from one another..?
Thank you! great toolbox!
Idit.