maha_d: Mahalanobis distance

In jmbarbone/qpm: Quantitative Psychological Methods

Description

A wrapper for stats::mahalanobis

Computes the mahalanobis distance and adds it to the end of the data.frame as well as the outlier p-value.

Usage

maha_d(x, .f = mean, inverted = FALSE)

add_maha_d(df, cols = NULL, .f = mean, inverted = FALSE)

Arguments

x	A data.frame or matrix of numeric values
.f	The centering function. Defaults to use 'mean'.
inverted	Logical. If TRUE, the covariance matrix (p x p) of the distribution is supposed to contain the inverse of the covariance matrix.
df	The data.frame to add
cols	A character vector of the columns to select from the data.frame

Examples

maha_d(iris[1:3])
add_maha_d(iris[1:3])

jmbarbone/qpm documentation built on July 25, 2020, 10:41 p.m.