gg_loess: Loess plot for propensity scores

Loess plot with density distributions for propensity scores and outcomes on top and right, respectively.

gg_loess(x, response, treatment, responseTitle = "",
  treatmentTitle = "Treatment", percentPoints.treat = 0.2,
  percentPoints.control = 0.1, points.treat.alpha = 0.2,
  points.control.alpha = 0.1, ...)

Arguments

x	vector of propensity scores.
response	the response variable.
treatment	the treatment varaible as a logical type.
responseTitle	the label to use for the y-axis (i.e. the name of the response variable)
treatmentTitle	the label to use for the treatment legend.
percentPoints.treat	the percentage of treatment points to randomly plot.
percentPoints.control	the percentage of control points to randomly plot.
points.treat.alpha	the transparency level for treatment points.
points.control.alpha	the transparency level for control points.
...	other parameters passed to geom_smooth and stat_smooth.

Value

a ggplot2 figure