R: Naive Bayes Plot

plot.NaiveBayes {klaR} | R Documentation

## Naive Bayes Plot

### Description

Visualizes the marginal probabilities of predictor variables given the class.

### 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.`

### 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)

[Package klaR version 0.6-12 Index]