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dism()
Description:
Calculate Mahalanobis distance between two vectors on covariance matrix.
Syntax:
dism(X,Y,C)
Note:
The function computes Mahalanobis distance between vector X and vector Y on covariance matrix C. Both the vectors and the covariance matrix should be of same dimension. That is, if the covariance matrix consists of multiple 4-dimensional vectors, the vectors need to be 4-dimensional too.
Parameters:
|
X/Y |
Vectors of same dimension with a specified covariance matrix |
|
C |
A covariance matrix |
Return value:
Numeric value
Example:
|
|
A |
|
|
1 |
[[8,2],[-3,9],[10,-3]] |
|
|
2 |
[0,-2] |
|
|
3 |
[1,2] |
|
|
4 |
=covm(A1) |
Calculate A1’s covariance matrix |
|
5 |
=dism(A2,A3,A4) |
|
