Hi Matt,
I understand that you are trying to model the effect of “STATE” and “CUE” on “FR” as well as account for the fact that “FR” was repeatedly measured from each “NEU”.
Please try using the "fitrm" function as given below to model the repeated measures:
rm = fitrm(data, 'FR1-FR16~CUE*STATE', 'WithinDesign', [1 4]);
The “FR1-FR16” specifies the repeated measures of “FR”. The “CUE*STATE” specifies the fixed effects of “CUE” and “STATE”, as well as their interaction. By providing the “WithinDesign” and “[1 4]” parameters to the “fitrm” function, we indicate that the repeated measures are within-subjects factors. In this case, the first index (1) represents the column number of repeated measures of “FR”, and the second index (4) represents the column number of the subject identifier “NEU”.
Please refer to the below documentation to learn more about the “WithinDesign” parameter in “fitrm” function: https://www.mathworks.com/help/stats/fitrm.html#:~:text=WithinDesign%20%E2%80%94%20Design%20for%20within%2Dsubject%20factors
Hope it helps.
Regards,
Sai Pavan
