plot.covariate.balance: Multiple covariate balance assessment plot.

In jbryer/multilevelPSA: Multilevel Propensity Score Analysis

Multiple covariate balance assessment plot.

Description

A graphic based upon [cv.bal.psa()] function in the 'PSAgraphics' package. This graphic plots the effect sizes for multiple covariates before and after propensity score adjustement.

Usage

## S3 method for class 'covariate.balance'
plot(
  x,
  plot.strata = FALSE,
  order = c("unadjusted", "adjusted"),
  strata.size = 3,
  strata.legend.guide = "none",
  point.size = 3,
  point.alpha = 1,
  line.color = "black",
  line.alpha = 0.2,
  legend.position = c(0.8, 0.2),
  ...
)

Arguments

x	results of [covariate.balance()].
plot.strata	whether individual strata should be plotted.
order	how to order the y-axis. Possible values are adjusted, unadjusted, or NULL (don't reorder).
strata.size	text size for strata if plotted.
strata.legend.guide	guide for legend placement for strata.
point.size	size of the overall effect size points.
point.alpha	transparency level of the overall effect size points.
line.color	the color of the line connecting the overall effect size points.
line.alpha	transparency level of the line connecting the overall effect size points.
legend.position	where to position the legend.
...	currently unused.

Value

a ggplot2 with an attribute, effects, that is the data frame used to create the plot.

jbryer/multilevelPSA documentation built on June 13, 2025, 7:57 p.m.