Upsample minority class to the size of majority class

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

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)
#> 
#>     setosa versicolor 
#>         50         50