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: AnyRef): Boolean
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  10. def f_crit: Double

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

  11. def f_stat: Double

    Returns the F-statistic.

  12. def g_mu: Double

    Returns the grand mean.

  13. final def getClass(): Class[_ <: AnyRef]
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  14. val gmu: Double
  15. def hashCode(): Int
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  16. final def isInstanceOf[T0]: Boolean
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  17. def mse: Double

    Returns the mean square, error

  18. def msg: Double

    Returns the mean square, groups

  19. def mu_i: VectorD

    Returns the group means.

  20. val mui: VectorD
  21. final def ne(arg0: AnyRef): Boolean
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  22. final def notify(): Unit
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  23. final def notifyAll(): Unit
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  24. def sse: Double

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

  25. def ssg: Double

    Returns the between-groups sum of squares.

  26. def sst: Double

    Returns the total sum of squares.

  27. final def synchronized[T0](arg0: => T0): T0
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  28. def toString(): String
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  29. final def wait(arg0: Long, arg1: Int): Unit
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    @throws(classOf[java.lang.InterruptedException])
  30. final def wait(arg0: Long): Unit
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  31. final def wait(): Unit
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  1. def finalize(): Unit
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    Deprecated

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