maov1

Computes a Multivariate Analysis of Variance for equal or unequal sample sizes.
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Updated 22 Oct 2003

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Computes a Multivariate Analysis of Variance for equal or unequal sample sizes. Testing of the mean differences in several variables among several samples (groups).

This MATLAB macro consider the matrices of sum-of-squares between (H) and within (E) to compute the Wilks'lambda (L) and according to the number of data it chooses to approximate to the Chi-square distribution (large sample) or through several multiple F-aproximations such as Rao, Pillai, Lawley-Hotelling and Roy tests (small sample).

It needs to input the X-data matrix [size of matrix must be n-by-(1+p); sample=column 1, variables=column 2:p]and alpha-significance (default = 0.05). The output is a complete multivariate analysis of variance table.

Cite As

Antonio Trujillo-Ortiz (2026). maov1 (https://uk.mathworks.com/matlabcentral/fileexchange/3863-maov1), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R11
Compatible with any release
Platform Compatibility
Windows macOS Linux
Version Published Release Notes
1.0.0.0

Due to a lack of appreciation of the Roy's maximum root multivariate test, it was adequately corrected.