| plot.covariate.balance {multilevelPSA} | R Documentation | 
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   | 
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.