plot.mlpsa: Plots the results of a multilevel propensity score model.

In jbryer/multilevelPSA: Multilevel Propensity Score Analysis

Description

The plot created uses the ggplot2 framework. As such, additional modifications can be made. This plot is an extension of the circ.psa function in the PSAgraphics package for multilevel models.

Usage

## S3 method for class 'mlpsa'
plot(x, ratio = c(1, 2), plotExtra = NULL, ...)

Arguments

x	the results of mlpsa.
ratio	the ratio of the size of the distribution plots (left and bottom) to the circular plot.
plotExtra	a plot to place in the lower left corner.
...	parameters passed to mlpsa.circ.plot and mlpsa.distribution.plot

Examples

## Not run: 
require(multilevelPSA)
require(party)
data(pisana)
data(pisa.colnames)
data(pisa.psa.cols)
mlctree = mlpsa.ctree(pisana[,c('CNT','PUBPRIV',pisa.psa.cols)], formula=PUBPRIV ~ ., level2='CNT')
student.party = getStrata(mlctree, pisana, level2='CNT')
student.party$mathscore = apply(student.party[,paste0('PV', 1:5, 'MATH')], 1, sum) / 5
results.psa.math = mlpsa(response=student.party$mathscore, 
       treatment=student.party$PUBPRIV, 
       strata=student.party$strata, 
       level2=student.party$CNT, minN=5)
plot(results.psa.math)

## End(Not run)

jbryer/multilevelPSA documentation built on April 10, 2020, 1:20 a.m.