plot.NaiveBayes

From klaR v0.6-15 by Uwe Ligges

Visualizes the marginal probabilities of predictor variables given the class.

# S3 method for NaiveBayes
plot(x, vars, n = 1000, legendplot = TRUE, lty, col,
    ylab = "Density", main = "Naive Bayes Plot", ...)

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.

For metric variables the estimated density is plotted. For categorial variables mosaicplot is called.

# 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

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