detect_outliers_mahalanobis: Detect outliers with Mahalanobis

In kueckelj/confuns: Convenience Functions

Detect outliers with Mahalanobis

Description

Uses mahalanobis distance to detect outliers in a data.frame

Usage

detect_outliers_mahalanobis(df, key.name, var.names = NULL)

Arguments

df	A data.frame.
key.name	Character value. The variable that identifies each observation uniquely with its value.
var.names	Character vector. The numeric variables according to which outliers are detected. If NULL, all numeric variable are chosen

Value

A data.frame with columns mahal, pval and <key.name>.

kueckelj/confuns documentation built on July 4, 2024, 4:53 p.m.