plot.Pupil_test_data: Pre-prepared plots of PupillometryR data

In PupillometryR: A Unified Pipeline for Pupillometry Data

Pre-prepared plots of PupillometryR data

Description

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 one of the run_functional tests.

Usage

## S3 method for class 'Pupil_test_data'
plot(x, show_divergence = TRUE, colour = "black", fill = "grey", ...)

Arguments

x	A Pupil_test_data dataframe
show_divergence	logical indicating whether divergences are to be highlighted
colour	string indicating colour of geom_line, passed to ggplot2
fill	string indicating fill hue of divergence highlights, 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)
differences <- create_difference_data(data = base_data,
pupil = mean_pupil)
spline_data <- create_functional_data(data = differences, pupil = mean_pupil, basis = 10, order = 4)
ft_data <- run_functional_t_test(data = spline_data,
pupil = mean_pupil)
p <- plot(ft_data, show_divergence = TRUE, colour = 'red', fill = 'orange')
p

PupillometryR documentation built on Sept. 15, 2023, 5:13 p.m.