Usage
plotMeans(frontier.object, xlab = 'Number of Observations Pruned', main = 'Means Plot', xlim = c(1,max(frontier.object$frontier$Xs)), ylim = c(0, 1), cols = rainbow(length(frontier.object$match.on)), diff.in.means = FALSE, ...)
Arguments
frontier.object
An object generated by makeFrontier()
xlab
The label for the x-axis. Defaults to 'Number of Observations Pruned'.
main
The main label. Defaults to Means Plot'.
xlim
The x-axis limits. Defaults to the range of the frontier.
ylim
The y-axis limits. Defaults to (0, 1).
cols
The line colors. Defaults to the rainbow palette.
diff.in.means
If TRUE, means are the difference in means between
treated and control groups. If FALSE (the default),
means are the covariate means pooling across treated
and control.
...
Additional arguments to be passed to plot
.