assumptions_manova: Determine the assumptions for the MANOVA test
In fakenmc/micompr: Multivariate Independent Comparison of Observations

assumptions_manova

R Documentation

Determine the assumptions for the MANOVA test

Description

Determine two assumptions for the MANOVA test: a) multivariate normality of each group; b) homogeneity of covariance matrices.

Usage

assumptions_manova(data, factors)

Arguments

`data`	Data used for the MANOVA test (rows correspond to observations, columns to dependent variables).
`factors`	Groups to which rows of `data` belong to (independent variables).

Value

An object of class assumptions_manova which is a list containing two elements:

mvntest: List of results from the Royston multivariate normality test (mvn), one result per group.
vartest: Result of Box's M test for homogeneity of covariance matrices (boxM).

Note

This function requires the MVN and biotools packages.

Examples


# Determine the assumptions of applying MANOVA to the iris data
# (i.e. multivariate normality of each group and homogeneity of covariance
# matrices)
a <- assumptions_manova(iris[, 1:4], iris[, 5])

fakenmc/micompr documentation built on Aug. 6, 2024, 8:29 p.m.