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.
Very good work !
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this is really great.
Due to a lack of appreciation of the Roy's maximum root multivariate test, it was adequately corrected.
Due to a lack of appreciation of the error degrees of freedom for the Pillai's trace, Lawley-Hotelling's trace and Roy's maximum root multivariate tests, they were adequately corrected.
It was added an appropriate format to cite this file.