plot.NaiveBayes function

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", ...)

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, karsten.luebke@fom.de

See Also

NaiveBayes

Examples

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

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