klaR: plot.NaiveBayes – R documentation

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plot.NaiveBayes

Naive Bayes Plot

Visualizes the marginal probabilities of predictor variables given the class.

## S3 method for class '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.

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

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

Classification and Visualization

v0.6-15

GPL-2 | GPL-3

Authors

Christian Roever, Nils Raabe, Karsten Luebke, Uwe Ligges, Gero Szepannek, Marc Zentgraf, David Meyer

Initial release

2020-02-18