bnlearn - Bayesian network structure learning

graphviz.plot {bnlearn}

R Documentation

Advanced Bayesian network plots

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

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

`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.

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). The default value is red.
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.

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

Marco Scutari