Pre-prepared plots of PupillometryR data — plot.Pupil_window

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.

# S3 method for Pupil_window_data
plot(
  x,
  pupil,
  windows = c(FALSE, TRUE),
  geom = c("raincloud", "violin", "boxplot"),
  ...
)

Arguments

x: A Pupil_window_data dataframe
pupil: Column name of pupil data to be plotted
windows: Whether you want to include time windows in the plot - logical
geom: violin plots or boxplots. The newest version adds raincloud plots using Ben Marwick's flat violin plot.
...: Ignored

Value

A ggplot object

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