Plot functions for the bn.fit, bn.fit.dnode and
bn.fit.gnode classes, based on the lattice package.
## for Gaussian Bayesian networks.
bn.fit.qqplot(fitted, xlab = "Theoretical Quantiles",
ylab = "Sample Quantiles", main = "Normal Q-Q Plot", ...)
bn.fit.histogram(fitted, density = TRUE, xlab = "Residuals",
ylab = ifelse(density, "Density", ""),
main = "Histogram of the residuals", ...)
bn.fit.xyplot(fitted, xlab = "Fitted values",
ylab = "Residuals", main = "Residuals vs Fitted", ...)
## for discrete (multinomial and ordinal) Bayesian networks.
bn.fit.barchart(fitted, xlab = "Probabilities",
ylab = "Levels", main = "Conditional Probabilities", ...)
bn.fit.dotplot(fitted, xlab = "Probabilities",
ylab = "Levels", main = "Conditional Probabilities", ...)an object of class bn.fit, bn.fit.dnode or
bn.fit.gnode.
the label of the x axis, of the y axis, and the plot title.
a boolean value. If TRUE the histogram is plotted using
relative frequencies, and the matching normal density is added to the plot.
additional arguments to be passed to lattice functions.
The lattice plot objects. Note that if auto-printing is turned off (for
example when the code is loaded with the source function), the return
value must be printed explicitly for the plot to be displayed.
bn.fit.qqplot draws a quantile-quantile plot of the residuals.
bn.fit.histogram draws a histogram of the residuals, using either
absolute or relative frequencies.
bn.fit.xyplot plots the residuals versus the fitted values.
bn.fit.barchart and bn.fit.dotplot plot the probabilities in
the conditional probability table associated with each node.