# MultivariateStatisticalSummary

#### trait MultivariateStatisticalSummary extends AnyRef

Trait for multivariate statistical summary of a data matrix.

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### Abstract Value Members

Sample size.

2. #### abstract def max: Vector

Maximum value of each column.

3. #### abstract def mean: Vector

Sample mean vector.

4. #### abstract def min: Vector

Minimum value of each column.

5. #### abstract def normL1: Vector

L1 norm of each column

6. #### abstract def normL2: Vector

Euclidean magnitude of each column

7. #### abstract def numNonzeros: Vector

Number of nonzero elements (including explicitly presented zero values) in each column.

8. #### abstract def variance: Vector

Sample variance vector.

Sample variance vector. Should return a zero vector if the sample size is 1.

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