# MultivariateStatisticalSummary

### Related Doc: package stat

#### trait MultivariateStatisticalSummary extends AnyRef

Trait for multivariate statistical summary of a data matrix.

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@Since( "1.0.0" )
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MultivariateStatisticalSummary.scala
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### Abstract Value Members

1. #### abstract def count: Long

Sample size.

Sample size.

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@Since( "1.0.0" )
2. #### abstract def max: Vector

Maximum value of each column.

Maximum value of each column.

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@Since( "1.0.0" )
3. #### abstract def mean: Vector

Sample mean vector.

Sample mean vector.

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@Since( "1.0.0" )
4. #### abstract def min: Vector

Minimum value of each column.

Minimum value of each column.

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@Since( "1.0.0" )
5. #### abstract def normL1: Vector

L1 norm of each column

L1 norm of each column

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@Since( "1.2.0" )
6. #### abstract def normL2: Vector

Euclidean magnitude of each column

Euclidean magnitude of each column

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@Since( "1.2.0" )
7. #### abstract def numNonzeros: Vector

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

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

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@Since( "1.0.0" )
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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@Since( "1.0.0" )

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