This function creates a ggplot visualisation of the Rank Average Treatment Effect. It displays the estimate with a confidence interval, using a simple black line and light gray shading by default.
Usage
margot_plot_rate(
x,
title = "Targeting Operator Characteristic",
subtitle = "(95% confidence interval shown as shaded area)",
x_lab = "Treated fraction (q)",
y_lab = "Estimate",
...
)Arguments
- x
An object of class "rank_average_treatment_effect", typically the output of the rank_average_treatment_effect() function.
- title
Character string for the plot title. Default is "Targeting Operator Characteristic".
- subtitle
Character string for the plot subtitle. Default explains the confidence interval.
- x_lab
Character string for the x-axis label. Default is "Treated fraction (q)".
- y_lab
Character string for the y-axis label. Default is "Estimate".
- ...
Additional arguments passed to ggplot.
Examples
if (FALSE) { # \dontrun{
# Assuming rate_eval is your rank_average_treatment_effect object
p <- plot_rank_average_treatment_effect(rate_eval)
print(p)
# Customise colors using ggokabeito
p_colored <- p +
ggokabeito::scale_fill_okabe_ito() +
ggokabeito::scale_color_okabe_ito()
print(p_colored)
} # }