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brede_loc_test_equal

(export/brede/brede_loc_test_equal.m)


Function Synopsis

R = brede_loc_test_equal(L1, L2, varargin);

Help text

 brede_loc_test_equal  - Test if 'loc' structures are equal

       function R = brede_loc_test_equal(L1, L2, varargin);

       Input:    L1    First 'loc' structure or matrix
                 L2    Second 'loc' structure or matrix

       Property: Type       [ {Means} | Covars | EuclideanPermutation 
                            MahalanobisPermutation |
                            MedianPermutation | PeelingPermutation ]
                 Dimensions [ {xyz} | x | y | z | xy | xz | ... ]
                            Restrict the tested dimensions
                 Permutations [ {10000} | positive integer ]

       Output:   R     P-value

       Test whether the distribution of the coordinates in L1 and L2
       are the same. 

       The test for 'Type'='Means' is the Hotelling's T2 test, that
       tests for the equality of means and assuming Gaussian
       distributions with equal (homogeneous) covariances.

       When 'Type'='Covars' then the equality for homogeneous covariance
       is tested.

       For 'Type'='MahalanobisPermutation' a permutation test is
       employed on the Mahalanobis distance between the two location
       sets. This should be the same as a permutation Hotelling T2
       test. The number of permutations is controlled by the
       'permutation' property. The p-value is returned.

       'Type'='MedianPermutation' is permutation test on the sum over
       dimensions of the absolute value of the difference between the
       medians of the two groups. The median is calculated separately
       for each dimension. 

       Ref: Mardia, Multivariate Analysis (1979) pp. 77, 139, 334. 
            Arnold et al, Blood 89(3):823+ (1997)

       See also BREDE, BREDE_LOC, BREDE_LOC_LOC2MAT, BREDE_LOC_MEAN,
                BREDE_LOC_MEDIAN, BREDE_LOC_TEST_GAUSSIAN,
                BREDE_CDF_F, BREDE_MAT_MEAN. 

 $Id: brede_loc_test_equal.m,v 1.10 2005/06/04 01:23:24 fnielsen Exp $

Cross-Reference Information

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