graphviz.plot: Advanced Bayesian network plots

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

Description

Plot the graph associated with a Bayesian network using the Rgraphviz package.

Usage

graphviz.plot(x, highlight = NULL, layout = "dot",
  shape = "circle", main = NULL, sub = NULL)

Arguments

x	an object of class bn or bn.fit.
highlight	a list, see below.
layout	a character string, the layout parameter to be passed to Rgraphviz. Possible values are dots, neato, twopi, circo and fdp. See Rgraphviz documentation for details.
shape	a character string, the shape of the nodes. Can be either circle or ellipse.
main	a character string, the main title of the graph. It's plotted at the top of the graph.
sub	a character string, a subtitle which is plotted at the bottom of the graph.

Details

The highlight parameter is a list with at least one of the following elements:

• nodes: a character vector, the labels of the nodes to be highlighted.

• arcs: the arcs to be highlighted (a two-column matrix, whose columns are labeled from and to).

and optionally one or more of the following formatting parameters:

• col: an integer or character string (the highlight colour for the arcs and the node frames). The default value is red.

• textCol: an integer or character string (the highlight colour for the labels of the nodes). The default value is black.

• fill: an integer or character string (the colour used as a background colour for the nodes). The default value is white.

• lwd: a positive number (the line width of highlighted arcs). It overrides the line width settings in strength.plot. The default value is to use the global settings of Rgraphviz.

• lty: the line type of highlighted arcs. Possible values are 0, 1, 2, 3, 4, 5, 6, "blank", "solid", "dashed", "dotted", "dotdash", "longdash" and "twodash". The default value is to use the global settings of Rgraphviz.

Value

graphviz.plot returns invisibly the graph object produced by Rgraphviz.

Author(s)

Marco Scutari

See Also

plot.bn.

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