plot.NaiveBayes

0th

Percentile

Naive Bayes Plot

Visualizes the marginal probabilities of predictor variables given the class.

Keywords
classif, dplot
Usage
# S3 method for 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.

See Also

NaiveBayes

Aliases
  • plot.NaiveBayes
Examples
# NOT RUN {
data(iris)
mN <- NaiveBayes(Species ~ ., data = iris)
plot(mN)

mK <- NaiveBayes(Species ~ ., data = iris, usekernel = TRUE)
plot(mK)
# }
Documentation reproduced from package klaR, version 0.6-15, License: GPL-2 | GPL-3

Community examples

Looks like there are no examples yet.