bnlearn (version 4.1)

plot.bn: Plot a Bayesian network

Description

Plot the graph associated with a small Bayesian network.

Usage

# S3 method for bn
plot(x, ylim = c(0,600), xlim = ylim, radius = 250,
  arrow = 35, highlight = NULL, color = "red", ...)

Arguments

x

an object of class bn.

ylim

a numeric vector with two components containing the range of the y-axis.

xlim

a numeric vector with two components containing the range of the x-axis.

radius

a numeric value containing the radius of the nodes.

arrow

a numeric value containing the length of the arrow heads.

highlight

a vector of character strings, representing the labels of the nodes (and corresponding arcs) to be highlighted.

color

an integer or character string (the highlight colour).

…

other graphical parameters to be passed through to plotting functions.

See Also

graphviz.plot.

Examples

data(learning.test)
res = gs(learning.test)

plot(res)

## highlight node B and related arcs.
plot(res, highlight = "B")
## highlight B and its Markov blanket.
plot(res, highlight = c("B", mb(res, "B")))

## a more compact plot.
par(oma = rep(0, 4), mar = rep(0, 4), mai = rep(0, 4),
  plt = c(0.06, 0.94, 0.12, 0.88))
plot(res)