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# dism()

Description:

Calculate Mahalanobis distance between two vectors on covariance matrix.

Syntax:

dism(X,Y,C)

Note:

The external library function (See External Library Guide) computes Mahalanobis distance between vector X and vector Y on covariance matrix C. There is a same number of columns in vector X /Y and covariance matrix C.

Parameter:

 X/Y Vectors of same dimension with the covariance matrix C C A covariance matrix

Return value:

Numeric value

Example:

 A 1 [[1, 0, 2], [-1, 5, 0], [0, 3, -9], [3, 2, 4], [-1, 1, 2]] Generate a matrix containing five samples. 2 =covm(A1) Calculate the general covariance matrix. 3 =dism(A1(1),A1(3),A2) Calcualte Mahalanobis distance between the 1st sample  and the 3rd sample.