plot.triangle.psa: Triangle plot.

In TriMatch: Propensity Score Matching of Non-Binary Treatments

Triangle plot.

Description

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

Usage

## 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),
  ...
)

Arguments

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.

Value

ggplot2 figure

See Also

triangle.psa

TriMatch documentation built on April 11, 2025, 6:16 p.m.