homogeneityCovariances: Test Wrapper for Homogeneity of Covariance Matrices

In BenBarnard/EqualCov: Covariance Matrix Tests

Description

Performs 2 and k sample homogeneity of covariance matrices test using test, 'covTest.'

Usage

homogeneityCovariances(x, ..., covTest = BoxesM)

Arguments

x	data as a data frame, list of matrices, grouped data frame, or resample object
...	other options passed to covTest method
covTest	homogeneity of covariance matrices test method

Details

The homogeneityCovariances function is a wrapper function that formats the data for the specific covTest functions.

Value

A list with class "htest" containing the following components:

statistic	the value of homogeneity of covariance test statistic
parameter	the degrees of freedom for the chi-squared statistic
p.value	the p=value for the test
estimate	the estimated covariances if less than 5 dimensions
null.value	the specified hypothesized value of the covariance difference
alternative	a character string describing the alternative hyposthesis
method	a character string indicating what type of homogeneity of covariance test was performed
data.name	a character string giving the names of the data

See Also

Other Testing for Homogeneity of Covariance Matrices: Ahmad2017

Examples

homogeneityCovariances(iris, group = Species)

BenBarnard/EqualCov documentation built on Dec. 4, 2019, 5:29 p.m.