Class

org.scalameter.utils.Statistics

ANOVAFTest

Related Doc: package Statistics

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case class ANOVAFTest(alternatives: Seq[Seq[Double]], alpha: Double) extends Test with Product with Serializable

ANOVA separates the total variation in a set of measurements into a component due to random fluctuations in the measurements and a component due to the actual differences among the alternatives.

If the variation between the alternatives is larger than the variation within each alternative, then it can be concluded that there is a statistically significant difference between the alternatives.

For more information see: Andy Georges, Dries Buytaert, Lieven Eeckhout - Statistically Rigorous Java Performance Evaluation

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  1. ANOVAFTest
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Instance Constructors

  1. new ANOVAFTest(alternatives: Seq[Seq[Double]], alpha: Double)

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Value Members

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

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    AnyRef → Any
  2. final def ##(): Int

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

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    Definition Classes
    AnyRef → Any
  4. val F: Double

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  5. val K: Int

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  6. val N: Int

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  7. val alpha: Double

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  8. val alternatives: Seq[Seq[Double]]

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  9. final def asInstanceOf[T0]: T0

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    Any
  10. def clone(): AnyRef

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    protected[java.lang]
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    AnyRef
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    @throws( ... )
  11. final def eq(arg0: AnyRef): Boolean

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    AnyRef
  12. def finalize(): Unit

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    protected[java.lang]
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    AnyRef
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    @throws( classOf[java.lang.Throwable] )
  13. final def getClass(): Class[_]

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  14. final def isInstanceOf[T0]: Boolean

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

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    AnyRef
  16. final def notify(): Unit

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    AnyRef
  17. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  18. def passed: Boolean

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    Definition Classes
    ANOVAFTestTest
  19. val quantile: Double

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  20. val ssa: Double

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  21. val sse: Double

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

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  23. final def wait(): Unit

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    @throws( ... )
  24. final def wait(arg0: Long, arg1: Int): Unit

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

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