case_weights: Generates case weights for binary data

In BlasBenito/spatialRF: Easy Spatial Modeling with Random Forest

Generates case weights for binary data

Description

When the data is binary, setting the ranager argument case.weights helps to minimize the issues produced by class imbalance. This function takes a binary response variable and returns a vector of weights populated with the values 1/#zeros and 1/#ones. It is used internally by the function rf().

Usage

case_weights(data = NULL, dependent.variable.name = NULL)

Arguments

data	Data frame with a response variable and a set of predictors. Default: NULL
dependent.variable.name	Character string with the name of the response variable. Must be in the column names of data. Default: NULL

Value

A vector with a length equal to nrow(data) with the respective weights of the cases.

Examples

if(interactive()){

 data <- data.frame(
   response = c(0, 0, 0, 1, 1)
 )

 case_weights(
   data = data,
   dependent.variable.name = "response"
 )

 }

BlasBenito/spatialRF documentation built on Sept. 1, 2022, 1:42 p.m.