so, in previous steps when using aggregated pupil, the dataset was created excluding pupil trials with excess loss. e.g. < 80% of valid gaze samples, so of we use this dataset db_full4new_stim_screen_pupil_nopract to create our database with the behavioral data to be merged with time series, we end up with trials with no self-report ratings. that's because tmp.df4_full_stim_downs_jun2021_60bins has all data.
two solutions here, find an earlier data frame that contains all behavioral data and tale the needed data from there, or just exclude the trials witha. lot of loss on the time-series datasets
so, in previous steps when using aggregated pupil, the dataset was created excluding pupil trials with excess loss. e.g. < 80% of valid gaze samples, so of we use this dataset
db_full4new_stim_screen_pupil_nopractto create our database with the behavioral data to be merged with time series, we end up with trials with no self-report ratings. that's because tmp.df4_full_stim_downs_jun2021_60bins has all data.two solutions here, find an earlier data frame that contains all behavioral data and tale the needed data from there, or just exclude the trials witha. lot of loss on the time-series datasets