This function creates a single collapsed data frame for easy analysis with a t-test or anova, per condition. By comparison create_time_windows allows dividing it into multiple windows per time.

create_window_data(data, pupil)

Arguments

data

a PupillometryR dataframe

pupil

column name denoting pupil data to be used

Value

a Pupil_window_data dataframe

Examples

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.
window <- create_window_data(data = base_data, pupil = mean_pupil)
p <- plot(window, pupil = mean_pupil, windows = FALSE, geom = 'boxplot')
p