plot.NaiveBayes {klaR}R Documentation

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

See Also

NaiveBayes

Examples

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

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

[Package klaR version 0.5-8 Index]