Learn R Programming
multilevelPSA (version 1.3.0)

plot.covariate.balance: 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 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),
  ...
)

Value

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

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.