Numerical tests for multivariate normality

Besides the graphical tests using QQ-plot, the MVN library has a range of numerical tests for checking multivariate normality. Along with the significance tests, these tests provide an inferential statement about whether the data are multivariate normal.

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Multivariate Probability Distributions in R

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Instructions

Use the mvn() function with argument mvnTest = "mardia" to perform Mardia's test of multivariate normality on the multnorm.sample dataset.
Use the mvn() function with argument mvnTest = "hz" to perform Henze-Zirkler's test of multivariate normality on the numeric variables, Alcohol, Malic, Ash, Alcalinity of the wine dataset.

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# Mardia's test

# Henze-Zirkler's test

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