Mensen
commented
7 years ago Hey!
The behavioural option is currently only capable of a single correlation. So the behavioural data should just be a single dimension vector of length n_participants.
If you want to measure 6 different correlations unfortunately you'll have to run each correlation separately for now.
The other way I'm currently working on is using linear mixed models with these 6 predictors... but unfortunately this is still too slow if you have more than just the channels (you mentioned you had multiple frequencies).
Hope this way is not too much of a bother for you. Let me know how you get on!
speters14
Hi Mensen,
I'm trying to use the correlation option with the TFCE code. I'm wondering what the format of the behavioral data should be? I've tried a few different things but I'm getting an error. I was looking to do 6 different behavioral measures (six scores) per subject (19 subjects). For my EEG data, though, I'm still using subject x chan x freq. Do I need to scale that down to one chan or one freq? Thanks.
Error using - Array dimensions must match for binary array op.
Error in ept_TFCE>@(x)(x-mean(x))./std(x) (line 325) condition = @(x) (x-mean(x))./std(x);
Error in ept_TFCE (line 334) T_Obs = (condition(Data{1})' * condition(behavior_repeated)) / sum(condition(Data{1}).^2);