plot.predictability: Plot 'predictability' Objects

In BGGM: Bayesian Gaussian Graphical Models

Plot predictability Objects

Description

Plot predictability Objects

Usage

## S3 method for class 'predictability'
plot(
  x,
  type = "error_bar",
  cred = 0.95,
  alpha = 0.5,
  scale = 1,
  width = 0,
  size = 1,
  color = "blue",
  ...
)

Arguments

x	An object of class predictability
type	Character string. Which type of plot ? The options are "error_bar" or "ridgeline" (defaults to "error_bar").
cred	Numeric. The credible interval width for summarizing the posterior distributions (defaults to 0.95; must be between 0 and 1).
alpha	Numeric. Transparancey of the ridges
scale	Numeric. This controls the overlap of densities for type = "ridgeline" (defaults to 1).
width	Numeric. The width of error bar ends (defaults to 0) for type = "error_bar".
size	Numeric. The size for the points (defaults to 2) for type = "error_bar".
color	Character string. What color for the point (type = "error_bar") or tail region (type = "ridgeline" ) ? Defaults to "blue".
...	Currently ignored.

Value

An object of class ggplot.

Examples

Y <- ptsd[,1:5]

fit <- explore(Y, iter = 250,
               progress = FALSE)

r2 <- predictability(fit, iter = 250,
                     progress = FALSE)

plot(r2)

BGGM documentation built on Sept. 11, 2024, 5:19 p.m.