View source: R/BeEFdiscretization_numnum.R
BeEFdiscretization.numnum | R Documentation |
Discretize two quantitative variables by optimizing the obtained the Normalized Mutual Information
BeEFdiscretization.numnum(
continuousX,
continuousY,
maxNbBins = 100,
includeNA = T,
showProgress = F
)
continuousX |
a vector of numeric. |
continuousY |
a vector of numeric. |
maxNbBins |
an integer corresponding to the number of bins limitation (for computation time limitation), maxNbBins=100 by default. |
includeNA |
a boolean. TRUE to include NA value as a factor level. |
showProgress |
a boolean to decide whether to show the progress bar. |
a list of two factors.
# calculate a correlation dataframe
data(iris)
disc=BeEFdiscretization.numnum(iris$Sepal.Length,iris$Sepal.Width)
summary(disc$x)
summary(disc$y)
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