Multivariate analysis of variance assuming equality of the covariance matrices: 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)
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.
Arguments
x
A matrix containing Euclidean data.
ina
A numerical or factor variable indicating the groups of the data.
Author
Michail Tsagris.
R implementation and documentation: Michail Tsagris mtsagris@uoc.gr.
Details
Multivariate analysis of variance assuming equality of the covariance matrices.
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.