plot.bn: Plot a Bayesian network

In vspinu/bnlearn: Bayesian network structure learning, parameter learning and inference

Description

Plot the graph associated with a small Bayesian network.

Usage

## S3 method for class '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 on y-axis.
xlim	a numeric vector with two components containing the range on 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 parameters to be passed through to plotting functions.

Note

The following graphical parameters are always overridden:

• axes is set to FALSE.

• xlab is set to an empty string.

• ylab is set to an empty string.

Author(s)

Marco Scutari

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)

vspinu/bnlearn documentation built on May 3, 2019, 7:08 p.m.