klaR (version 0.3-0)

plot.NaiveBayes: Naive Bayes Plot

Description

Visualizes the marginal probabilities of predictor variables given the class.

Usage

plot.NaiveBayes(x, vars, n = 1000, legendplot = TRUE, 
    lty = 1:length(x$apriori), col = rainbow(length(x$apriori)), 
    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 points used to plot the density line.

legendplot

print a legend?

lty

lty of the different classes.

col

color for the different classes.

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.

See Also

NaiveBayes

Examples

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

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

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