plot.NaiveBayes: Naive Bayes Plot

Description Usage Arguments Details Author(s) See Also Examples

View source: R/plot.NaiveBayes.R

Description

Visualizes the marginal probabilities of predictor variables given the class.

Usage

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## 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, [email protected]

See Also

NaiveBayes

Examples

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

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

Example output

Loading required package: MASS

klaR documentation built on March 19, 2018, 5:03 p.m.