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Compositional (version 5.5)

Multivariate analysis of variance: 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.

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.

Details

Multivariate analysis of variance assuming equality of the covariance matrices.

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

Run this code
# NOT RUN {
maov( as.matrix(iris[,1:4]), iris[,5] )
maovjames( as.matrix(iris[,1:4]), iris[,5] )
# }

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