UpliftPerCat: Uplift barplot for categorical variables

In tools4uplift: Tools for Uplift Modeling

Description

Computes the observed uplift per category and creates a barplot.

Usage

UpliftPerCat(data, treat, outcome, x, ...)

Arguments

data	a data frame containing the treatment, the outcome and the variable of interest.
treat	name of a binary (numeric) vector representing the treatment assignment (coded as 0/1).
outcome	name of a binary response (numeric) vector (coded as 0/1).
x	name of the explanatory variable of interest.
...	extra parameters for the barplot.

Value

returns a barplot representing the uplift per category.

Author(s)

Mouloud Belbahri

Examples

library(tools4uplift)
data("SimUplift")

binX1 <- BinUplift(data = SimUplift, treat = "treat", outcome = "y", x = "X1", 
                  n.split = 100, alpha = 0.01, n.min = 30)

SimUplift$quantizedX1 <- predict(binX1, SimUplift$X1)
UpliftPerCat(data = SimUplift, treat = "treat", outcome = "y", 
            x = "quantizedX1", xlab='Quantized X1', ylab='Uplift',
            ylim=c(-1,1))

tools4uplift documentation built on Jan. 11, 2022, 3 a.m.