plot.NaiveBayes

0th

Percentile

Naive Bayes Plot

Visualizes the marginal probabilities of predictor variables given the class.

Keywords
classif, dplot
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.

concept

Visualizing Naive Bayes Classification

See Also

NaiveBayes

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

mK <- NaiveBayes(Species ~ ., data = iris, usekernel = TRUE)
plot(mK)
Documentation reproduced from package klaR, version 0.6-11, License: GPL-2

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