manage_outliers {klovan}

Outlier Management

Description

This function appends a new column to the input data, marking potential outliers. Once identified, these outliers can either be removed or imputed.

Usage

manage_outliers(data, property)

Arguments

data

A dataset of class data.frame.

property

A string representing the property on which the range transformation is based.

Value

The input dataset, supplemented with a new Boolean column. TRUE signifies a high likelihood of an outlier, while FALSE signifies a low likelihood.

Examples

data("Klovan_2D_all_outlier")
manage_outliers(Klovan_2D_all_outlier, "P_Mg")