outliersMD: Mahalanobis distance to detect bivariate outliers

In validmeasures/nipnTK: National Information Platforms for Nutrition Anthropometric Data Toolkit

Mahalanobis distance to detect bivariate outliers

Description

Mahalanobis distance to detect bivariate outliers

Usage

outliersMD(x, y, alpha = 0.001)

Arguments

x	Numeric vector
y	Numeric vector
alpha	Critical alpha value to detect an outlier (defaults to 0.001)

Value

A logical vector (TRUE for an outlier at p < alpha)

Examples

# Use outliersMD() to detect outliers in an anthropometric data from
# a SMART survey from the Democratic Republic of Congo (sp.ex01)
svy <- sp.ex01
svy[outliersMD(svy$height,svy$weight), ]

validmeasures/nipnTK documentation built on Nov. 2, 2024, 6:50 p.m.