Pre-prepared plots of PupillometryR data — plot.Pupil_difference

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_difference_data.

# S3 method for Pupil_difference_data
plot(x, pupil, geom = c("point", "line"), colour = "black", ...)

Arguments

x: A Pupil_difference_data dataframe
pupil: Column name of pupil data to be plotted
geom: string indicating whether made of connected points or a line
colour: string indicating colour of geom, passed to ggplot2
...: 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.
differences <- create_difference_data(data = base_data,
pupil = mean_pupil)
#> Hard minus Easy  -- relevel condition if this is not the intended outcome  
p <- plot(differences, pupil = mean_pupil, geom = 'line')
p