Multivariate analysis of variance {Compositional}R Documentation

Multivariate analysis of variance

Description

Multivariate analysis of variance with assuming equality of the covariance matrices.

Usage

maov(x, ina)

Arguments

x

A matrix containing Euclidean data.

ina

A numerical or factor variable indicating the groups of the data.

Details

Multivariate analysis of variance assuming equality of the covariance matrices.

Value

A list including:

note

A message stating whether the F or the chi-square approximation has been used.

result

The test statistic and the p-value.

Author(s)

Michail Tsagris.

R implementation and documentation: Michail Tsagris mtsagris@uoc.gr and Giorgos Athineou <gioathineou@gmail.com>.

References

Johnson and Wichern (2007, 6th Edition). Applied Multivariate Statistical Analysis p. 302-303.

Todorov V. and Filzmoser P. (2010). Robust Statistic for the One-way MANOVA. Computational Statistics & Data Analysis 54(1):37-48.

See Also

maovjames, hotel2T2, james, comp.test

Examples

maov( as.matrix(iris[,1:4]), iris[,5] )
maovjames( as.matrix(iris[,1:4]), iris[,5] )

[Package Compositional version 5.2 Index]