BeEFdiscretization.numfact: BeEF: Best Equal-Frequency discretization
In sambaala/linkspotter: Bivariate Correlations Calculation and Visualization

View source: R/BeEFdiscretization_numfact.R

BeEFdiscretization.numfact

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)

sambaala/linkspotter documentation built on Oct. 18, 2023, 9:45 p.m.