postppt.plot: Plot method for posterior projected Polya tree

In Karlampm/PPTcirc: Projected Polya Tree for Circular Data

Description

Plots posterior projected Polya tree estimates.

Usage

postppt.plot(postppt.circ,
plot.type = c("circle", "line", "summary", "a.sim", "mu.sim", "cpos"),
interval = TRUE, control.circular = list(),
shrink = 1, tol = 0.04, ylim = NULL)

Arguments

postppt.circ	object returned by the dsimpostppt function.
plot.type	type of plot to be drawn: "circle" for circular plot, "line" for linear plot, "summary" for boxplot of mean direction and concentration, "cpos" for cpos scatter plot "a.sim" for summary plots of simulated alphas and "mu.sim" for summary plots of simulated mu1 and mu2.
interval	logical. If TRUE 95% credible intervals will be shown in the circular and linear plots.
control.circular	attributes of circular object in order to draw the circle.See circular.
shrink	parameter that controls the size of the plotted circle. Default is 1. Larger values shrink the circle, while smaller values enlarge the circle.
tol	proportion of white space at the margins of plot.
sep	constant used to specify the distance between stacked points. Default is 0.025;smaller values will create smaller spaces
ylim	range to be encompassed by "y" axis.
xlim	range to be encompassed by "x" axis.

See Also

plot, plot.density.circular

Examples

 z2 <- dsimpostppt(deer, units = "radians", it = 10, ti =1, bi=0, ha = 1)
postppt.plot(z2, plot.type= "line" , shrink = 1.4, tol = 1.2, ylim = c(0,0.6))
postppt.summary(z2)
postppt.plot(z2, plot.type= "cpos" )
postppt.plot(z2, plot.type= "circle" , shrink = 1.4, tol = 1.2)

Karlampm/PPTcirc documentation built on May 20, 2021, 1:53 a.m.