Multiple covariate balance assessment plot. — plot.covariate.balance • multilevelPSA

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.