mdout: Identify multivariate outlying observations in a dataset

In gcmdiag: Growth curve modeling diagnostics

Description

Identify multivariate outlying observations based on squared Mahalanobis distances.

Usage

mdout(data,alpha)

Arguments

data	A matrix which contains data to be detected.
alpha	The Alpha level for the test.

Value

An object which contains IDs of the identified multivariate outlying observations.

Author(s)

Xin Tong and Zhiyong Zhang

Examples

## Not run: 
data(N300)
outlying <- mdout(N300,alpha=0.025)
outlying

## End(Not run)

gcmdiag documentation built on May 2, 2019, 4:43 p.m.