scalation.stat

Anova

Related Doc: package stat

class Anova extends AnyRef

The Anova class provides the functions necessary for performing a one-way ANalysis Of VAriance (ANOVA) on the input data matrix x. The data matrix: row i - i-th group/treatment column j - j-th replica

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Instance Constructors

  1. new Anova(x: MatrixD)

    x

    the data matrix

Value Members

  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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  6. val dfe: Double

  7. val dfg: Double

  8. final def eq(arg0: AnyRef): Boolean

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  9. def equals(arg0: Any): Boolean

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  10. def f_crit: Double

    Returns the critcal value from the Fisher (F) Distribution.

  11. def f_stat: Double

    Returns the F-statistic.

  12. def finalize(): Unit

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  13. def g_mu: Double

    Returns the grand mean.

  14. final def getClass(): Class[_]

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  15. val gmu: Double

  16. def hashCode(): Int

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  17. final def isInstanceOf[T0]: Boolean

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  18. def mse: Double

    Returns the mean square, error

  19. def msg: Double

    Returns the mean square, groups

  20. def mu_i: VectorD

    Returns the group means.

  21. val mui: VectorD

  22. final def ne(arg0: AnyRef): Boolean

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  23. final def notify(): Unit

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  24. final def notifyAll(): Unit

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  25. def sse: Double

    Returns the within-groups (error) sum of squares.

  26. def ssg: Double

    Returns the between-groups sum of squares.

  27. def sst: Double

    Returns the total sum of squares.

  28. final def synchronized[T0](arg0: ⇒ T0): T0

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  29. def toString(): String

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  30. final def wait(): Unit

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  31. final def wait(arg0: Long, arg1: Int): Unit

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  32. final def wait(arg0: Long): Unit

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