This function creates a single collapsed data frame for easy analysis with an anova or model, per condition. By comparison create_window_data allows collapsing all into a single time window.

create_time_windows(data, pupil, breaks)



a PupillometryR dataframe


column name denoting pupil data to be used


a vector or numbers indicating start times for each window


a Pupil_window_data dataframe


Sdata <- make_pupillometryr_data(data = pupil_data,
                               subject = ID,
                               trial = Trial,
                               time = Time,
                               condition = Type)
regressed_data <- regress_data(data = Sdata, pupil1 = RPupil, pupil2 = LPupil)
mean_data <- calculate_mean_pupil_size(data = regressed_data,
pupil1 = RPupil, pupil2 = LPupil)
base_data <- baseline_data(data = mean_data, pupil = mean_pupil, start = 0, stop = 100)
#> Baselining for each subject and trial. If this is not the intended behaviour you may wish to do this manually.
time_window <- create_time_windows(data = base_data, pupil = mean_pupil,
breaks = c(1000, 2000))