BeEFdiscretization.numfact {linkspotter} | R Documentation |
BeEF: Best Equal-Frequency discretization
Description
Discretize a quantitative variable by optimizing the obtained the Normalized Mutual Information with a target qualitative variable
Usage
BeEFdiscretization.numfact(
continuousY,
factorX,
includeNA = T,
showProgress = F
)
Arguments
continuousY |
a vector of numeric. |
factorX |
a vector of factor. |
includeNA |
a boolean. TRUE to include NA value as a factor level. |
showProgress |
a boolean to decide whether to show the progress bar. |
Value
a factor.
Examples
# calculate a correlation dataframe
data(iris)
discreteSepalLength=BeEFdiscretization.numfact(continuousY=iris$Sepal.Length,factorX=iris$Species)
summary(discreteSepalLength)
[Package linkspotter version 1.3.0 Index]