upsample_minority: Upsample minority class to the size of majority class

In talegari/sidekicks: A Misc Set of Functions for Data Analysis

Description

Upsamples the minority class in binary classification setting to the size of majority class by randomly selecting minority class with repition to match the number of majority class

Usage

upsample_minority(x, classVarName, arrangeVarName, seed = 100,
  shuffle = FALSE)

Arguments

x	A dataframe
classVarName	Name of the binary class column
arrangeVarName	Name of the variable to arrange by
seed	Seed chosen for sampling, defaults to 100
shuffle	Whether to shuffle the dataframe at the end. This cannot be TRUE when arrangeVarName is specified. Shuffle used the seed value seed + 1.

Examples

iris2         <- iris[c(1:25, 51:100), ]
iris2$Species <- factor(iris2$Species)
sampled <- upsample_minority(iris2, "Species")
table(sampled$Species)

talegari/sidekicks documentation built on May 30, 2019, 8:40 a.m.