plot.NaiveBayes {klaR} | R Documentation |
Visualizes the marginal probabilities of predictor variables given the class.
plot.NaiveBayes(x, vars, n = 1000, legendplot = TRUE, lty = 1:length(x$apriori), col = rainbow(length(x$apriori)), 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 points used to plot the density line. |
legendplot |
print a legend ? |
lty |
lty of the different classes. |
col |
color for the different classes. |
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.
Karsten Luebke
data(iris) mN<-NaiveBayes(Species~.,data=iris) plot(mN) mK<-NaiveBayes(Species~.,data=iris,usekernel=TRUE) plot(mK)