The plot functions are designed to run with just data and pupil selections, with some additional options for fun with plotting. To see these plots, you must first use create_window_data.
A Pupil_window_data dataframe
Column name of pupil data to be plotted
Whether you want to include time windows in the plot - logical
violin plots or boxplots. The newest version adds raincloud plots using Ben Marwick's flat violin plot.
A ggplot object
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