CategoricalTable: Cross Table of Categorical Covariates

In Then-Terence/LiteXploreR: Concise exploratory data analysis

Description

This function generates a data.table tabulating the different levels of a categorical independent variable and the corresponding probabilities of the binary dependent variable taking the value of 1.

Usage

CategoricalTable(Target, Covariate, Data, UseLogit = T)

Arguments

Target	The name of binary target to be predicted.
Covariate	The name of the covariate.
Data	A data.table containing both the target and covariate.
UseLogit	If the value is TRUE, Log Odds will be generated. Otherwise, a set of score derived from Log Odds, scaled from 0 to 100, will be generated.

Examples

gearTable <- CategoricalTable(Target = "am", Covariate = "gear", Data = mtcars)

Then-Terence/LiteXploreR documentation built on May 18, 2019, 8:07 p.m.