plot.NaiveBayes: Naive Bayes Plot

In klaR: Classification and Visualization

Naive Bayes Plot

Description

Visualizes the marginal probabilities of predictor variables given the class.

Usage

## S3 method for class 'NaiveBayes'
plot(x, vars, n = 1000, legendplot = TRUE, lty, col,
    ylab = "Density", main = "Naive Bayes Plot", ...)

Arguments

x	an object of class NaiveBayes
vars	variables to be plotted. If missing, all predictor variables are plotted.
n	number of points used to plot the density line.
legendplot	logical, whether to print a legend
lty	line type for different classes, defaults to the first length(x$apriori) colors of the current palette in use.
col	color for different classes, defaults to rainbow(length(x$apriori)).
ylab	label for y-axis.
main	title of the plots.
...	furhter arguments passed to the underlying plot functions.

Details

For metric variables the estimated density is plotted. For categorial variables mosaicplot is called.

Author(s)

Karsten Luebke, [e-mail]

See Also

NaiveBayes

Examples

data(iris)
mN <- NaiveBayes(Species ~ ., data = iris)
plot(mN)

mK <- NaiveBayes(Species ~ ., data = iris, usekernel = TRUE)
plot(mK)

klaR documentation built on May 29, 2024, 5:20 a.m.