Packages

object StatVector

The StatVector companion object extends statistics vector operations to matrices.

Linear Supertypes
AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. StatVector
  2. AnyRef
  3. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  5. def center(x: MatrixD, mu_x: VectorD): MatrixD

    Center the input matrix 'x' to zero mean, column-wise, by subtracting the mean.

    Center the input matrix 'x' to zero mean, column-wise, by subtracting the mean.

    x

    the input matrix to center

    mu_x

    the vector of column means of matrix x

  6. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  7. def corr(x: MatrixD): MatrixD

    Return the correlation matrix for the columns of matrix 'x'.

    Return the correlation matrix for the columns of matrix 'x'. Note: sample vs. population results in essentailly the same values.

    x

    the matrix whose column columns correlations are sought

  8. def cov(x: MatrixD): MatrixD

    Return the sample covariance matrix for the columns of matrix 'x'.

    Return the sample covariance matrix for the columns of matrix 'x'.

    x

    the matrix whose column covariances are sought

  9. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  10. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  11. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  12. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
  13. def hashCode(): Int
    Definition Classes
    AnyRef → Any
  14. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  15. def mean(x: MatrixD): VectorD

    Return the mean vector containing the means of each column of matrix 'x'.

    Return the mean vector containing the means of each column of matrix 'x'.

    x

    the matrix whose column means are sought

  16. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  17. final def notify(): Unit
    Definition Classes
    AnyRef
  18. final def notifyAll(): Unit
    Definition Classes
    AnyRef
  19. def pcov(x: MatrixD): MatrixD

    Return the population covariance matrix for the columns of matrix 'x'.

    Return the population covariance matrix for the columns of matrix 'x'.

    x

    the matrix whose column columns covariances are sought

  20. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  21. def toString(): String
    Definition Classes
    AnyRef → Any
  22. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  23. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  24. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from AnyRef

Inherited from Any

Ungrouped