mi_kopt: Determine the Optimum K

In dbrookeUAB/miknn: Mutual Information between Discrete and Continuous Data Sets

Description

Determine the Optimum K

Usage

mi_kopt(dt, var.d, var.c, global = TRUE, returnK = FALSE,
  progress = TRUE, k.series = NULL)

Arguments

dt	a data.frame object
var.d	the name of the discrete variable in quotations
var.c	the name of the continuouse variable in quotations
global	set as TRUE by default. Set to FALSE for specific MI
returnK	set as TRUE to return the 'optimal' k
progress	whether to show a progress bar (DEFAULT=TRUE)
k.series	the range of integers to scan through (DEFAULT=1:100)

Examples

library(miknn)

# determining I for a series of k
mi_kopt(iris, "Species","Sepal.Length", global = TRUE)

dbrookeUAB/miknn documentation built on Sept. 3, 2020, 9:47 a.m.