scalation.stat

Anova

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: AnyRef): Boolean

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

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  3. final def ##(): Int

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  4. final def ==(arg0: AnyRef): Boolean

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

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  6. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

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  8. val dfe: Double

  9. val dfg: Double

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

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  11. def equals(arg0: Any): Boolean

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  12. def f_crit: Double

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

  13. def f_stat: Double

    Returns the F-statistic.

  14. def finalize(): Unit

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  15. def g_mu: Double

    Returns the grand mean.

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

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  17. val gmu: Double

  18. def hashCode(): Int

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  19. final def isInstanceOf[T0]: Boolean

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  20. def mse: Double

    Returns the mean square, error

  21. def msg: Double

    Returns the mean square, groups

  22. def mu_i: VectorD

    Returns the group means.

  23. val mui: VectorD

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

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  25. final def notify(): Unit

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  26. final def notifyAll(): Unit

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  27. def sse: Double

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

  28. def ssg: Double

    Returns the between-groups sum of squares.

  29. def sst: Double

    Returns the total sum of squares.

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

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  31. def toString(): String

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  32. final def wait(): Unit

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

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

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