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| File Information |
| Description |
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. |
| MATLAB release |
MATLAB 5.3 (R11)
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| Comments and Ratings (4) |
| 07 Apr 2004 |
ryota kanai
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| 01 Nov 2007 |
Ji Cling
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| 01 Nov 2007 |
Michael Hamman
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| 20 Feb 2009 |
Ricardo
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| Updates |
| 21 Aug 2003 |
It was added an appropriate format to cite this file. |
| 02 Sep 2003 |
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. |
| 22 Oct 2003 |
Due to a lack of appreciation of the Roy's maximum root multivariate test, it was adequately corrected. |
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