| plot.bn {bnlearn} |
R Documentation |
Plot a Bayesian network
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)
