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.