marginal_plot: Create "margin plots"

In dustinfife/flexplot: Graphically Based Data Analysis Using 'flexplot'

Create "margin plots"

Description

This function takes as an argument a regular flexplot graphic that has panels, then plots the "marginal" relationships for the panels. This makes it easier to see the average effect across the rows (or columns).

Usage

marginal_plot(p, columns = TRUE, rows = TRUE, grand_mean = TRUE)

Arguments

p	A flexplot graphic that has paneled variables.
columns	Logical. Should column panels be plotted?
rows	Logical. Should row panels be plotted?
grand_mean	Logical. Stating TRUE will generate a simple bivariate plot between X and Y
grand_5mean	Logical. Stating TRUE will generate a simple bivariate plot between X and Y

Value

A graphic with marginal plots

A graphic with marginal plots

Examples

p = flexplot(weight.loss~motivation | gender + rewards, data=exercise_data)
marginal_plot(p)
marginal_plot(p, rows=FALSE)
Create "margin plots"

This function takes as an argument a regular flexplot graphic that has panels, then plots the "marginal" relationships for the panels. 
This makes it easier to see the average effect across the rows (or columns). 
p = flexplot(weight.loss~motivation | gender + rewards, data=exercise_data)
marginal_plot(p)
marginal_plot(p, rows=FALSE)

dustinfife/flexplot documentation built on Feb. 10, 2025, 9:26 a.m.