Plot weights subdivided by a discrete covariate — plot_weighting

This provides a simple plot for the distribution of a single discrete covariate in the nominal sample and the implicit sample defined by the Aronow and Samii (2015) doi:10.1111/ajps.12185 regression weights.

plot_weighting_discrete(mod, covariate, alpha = 0.05, ...)

Arguments

mod: Weighting model object
covariate: Covariate vector
alpha: Number between zero and one indicating the desired alpha level for confidence intervals.
...: unused arguments

Value

A ggplot2::ggplot object.

Examples

y <- rnorm(100)
a <- rbinom(100, 1, 0.5)
x <- rnorm(100)
g <- sample(1:4, 100, replace = TRUE)
mod <- stats::lm(y ~ a + x)
rw_mod <- calculate_weights(mod, "a")
plot_weighting_discrete(rw_mod, g)