Visualizes the marginal probabilities of predictor variables given the class.
# S3 method for NaiveBayes
plot(x, vars, n = 1000, legendplot = TRUE, lty, col,
ylab = "Density", main = "Naive Bayes Plot", ...)an object of class NaiveBayes
variables to be plotted. If missing, all predictor variables are plotted.
number of points used to plot the density line.
logical, whether to print a legend
line type for different classes, defaults to the first length(x$apriori)
colors of the current palette in use.
color for different classes, defaults to rainbow(length(x$apriori)).
label for y-axis.
title of the plots.
furhter arguments passed to the underlying plot functions.
For metric variables the estimated density is plotted. For categorial variables mosaicplot is called.
# NOT RUN {
data(iris)
mN <- NaiveBayes(Species ~ ., data = iris)
plot(mN)
mK <- NaiveBayes(Species ~ ., data = iris, usekernel = TRUE)
plot(mK)
# }