plot.triangle.psa: Triangle plot.
In TriMatch: Propensity Score Matching of Non-Binary Treatments

Description Usage Arguments Value See Also

Triangle plot showing the fitted values (propensity scores) for three different models.

## S3 method for class 'triangle.psa'
plot(x, point.alpha = 0.3, point.size = 1.5,
  legend.title = "Treatment", text.size = 4, draw.edges = FALSE,
  draw.segments = TRUE, edge.alpha = 0.2, edge.color = "grey",
  edge.labels = c("Model 1", "Model 2", "Model 3"), sample = c(1), ...)

`x`	the results from `trips`.
`point.alpha`	alpha level for points.
`point.size`	point size.
`legend.title`	title for the legend.
`text.size`	text size.
`draw.edges`	draw edges of the triangle.
`draw.segments`	draw segments connecting points across two models.
`edge.alpha`	alpha level for edges if drawn.
`edge.color`	the color for edges if drawn.
`edge.labels`	the labels to use for each edge of the triangle.
`sample`	a vector of length 1 or 3 representing the sample of points to plot. The position of each element corresponds to the groups as returned by `attr(tpsa,'groups')`. If equal to one, all points will be plotted. Values less than one will plot a percentage of points. Values greater than one exactly that number of points will be plotted.
`...`	currently unused.