Multivariate analysis of variance assuming equality of the covariance matrices {mvhtests}

Multivariate analysis of variance assuming equality of the covariance matrices

Description

Multivariate analysis of variance 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^2 approximation has been used.

result

The test statistic and the p-value.

Author(s)

Michail Tsagris.

R implementation and documentation: Michail Tsagris [e-mail].

References

Johnson R.A. and Wichern D.W. (2007, 6th Edition). Applied Multivariate Statistical Analysis, pg. 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

Examples

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