Benedikt Ehinger

Recently moved the uf_se to the uf_se branch. (just in case someone is looking for the function)

- Additional thoughts The amount of data going into an estimate of a single timepoint can vary widely within one event. I.e. Anna had the case were she had only...

ha! true ok next try:  Should be a bit slower but else I think its fine for 1. I think I will not add noise to this, but I...

New colors & slower  Too large for github... https://benediktehinger.de/upload/unfold_explanation_v2.gif

Next graphic is there :-) Not really as I exactly intended, but this one shows the difference between deconv & no deconv (classic) 

yeah the function ranges, I'm still not sure what to do. The first one is over the whole experiment "70s max", the second one shows that the distance between events...

Non-linear graph. There is still a mistake in the second column, because the true effect is not visible. Overall I find the figure a bit busy,and obviously it is still...

First one too large again https://benediktehinger.de/upload/unfold_explanation_v3.gif  

interactions with splines are currently not supported Edit: One would need to specify the interaction manually: for e = 1:length(EEG.event) EEG.event(e).mysplinepredictor_factorA = EEG.event(e).mysplinepredictor.*double(EEG.event(e).myfactor=='FactorLevelA'); EEG.event(e).mysplinepredictor_factorB = EEG.event(e).mysplinepredictor.*double(EEG.event(e).myfactor=='FactorLevelB'); And then add the...

Hey! thanks for the file. I replicated the problem but have to think on a general solution. If you don't surpress the intercept, everything works as intended, as a n-level...