org.dianahep.histogrammar

FractionedHistogramMethods

class FractionedHistogramMethods extends AnyRef

Methods that are implicitly added to container combinations that look like fractioned histograms.

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Instance Constructors

  1. new FractionedHistogramMethods(fractioned: Fractioned[Selected[Binned[Counted, Counted, Counted, Counted]], Selected[Binned[Counted, Counted, Counted, Counted]]])

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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  6. final def asInstanceOf[T0]: T0

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  8. def confidenceIntervalNanflow(confidenceInterval: (Double, Double, Double) ⇒ Double, absz: Double = 1.0): (Double, Double, Double)

    Low-central-high confidence interval triplet for the nanflow bin, given a confidence interval function.

    Low-central-high confidence interval triplet for the nanflow bin, given a confidence interval function.

    confidenceInterval

    confidence interval function, which takes (numerator entries, denominator entries, z) as arguments, where z is the "number of sigmas:" z = 0 is the central value, z = -1 is the 68% confidence level below the central value, and z = 1 is the 68% confidence level above the central value.

    absz

    absolute value of z to evaluate.

    returns

    confidence interval evaluated at (-absz, 0, absz).

  9. def confidenceIntervalOverflow(confidenceInterval: (Double, Double, Double) ⇒ Double, absz: Double = 1.0): (Double, Double, Double)

    Low-central-high confidence interval triplet for the overflow bin, given a confidence interval function.

    Low-central-high confidence interval triplet for the overflow bin, given a confidence interval function.

    confidenceInterval

    confidence interval function, which takes (numerator entries, denominator entries, z) as arguments, where z is the "number of sigmas:" z = 0 is the central value, z = -1 is the 68% confidence level below the central value, and z = 1 is the 68% confidence level above the central value.

    absz

    absolute value of z to evaluate.

    returns

    confidence interval evaluated at (-absz, 0, absz).

  10. def confidenceIntervalUnderflow(confidenceInterval: (Double, Double, Double) ⇒ Double, absz: Double = 1.0): (Double, Double, Double)

    Low-central-high confidence interval triplet for the overflow bin, given a confidence interval function.

    Low-central-high confidence interval triplet for the overflow bin, given a confidence interval function.

    confidenceInterval

    confidence interval function, which takes (numerator entries, denominator entries, z) as arguments, where z is the "number of sigmas:" z = 0 is the central value, z = -1 is the 68% confidence level below the central value, and z = 1 is the 68% confidence level above the central value.

    absz

    absolute value of z to evaluate.

    returns

    confidence interval evaluated at (-absz, 0, absz).

  11. def confidenceIntervalValues(confidenceInterval: (Double, Double, Double) ⇒ Double, absz: Double = 1.0): Seq[(Double, Double, Double)]

    Low-central-high confidence interval triplet for all bins, given a confidence interval function.

    Low-central-high confidence interval triplet for all bins, given a confidence interval function.

    confidenceInterval

    confidence interval function, which takes (numerator entries, denominator entries, z) as arguments, where z is the "number of sigmas:" z = 0 is the central value, z = -1 is the 68% confidence level below the central value, and z = 1 is the 68% confidence level above the central value.

    absz

    absolute value of z to evaluate.

    returns

    confidence interval evaluated at (-absz, 0, absz).

  12. def denominatorBinned: Binned[Counted, Counted, Counted, Counted]

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

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  14. def equals(arg0: Any): Boolean

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  15. def finalize(): Unit

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  16. val fractioned: Fractioned[Selected[Binned[Counted, Counted, Counted, Counted]], Selected[Binned[Counted, Counted, Counted, Counted]]]

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

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  18. def hashCode(): Int

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  19. def high: Double

  20. final def isInstanceOf[T0]: Boolean

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  21. def low: Double

  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 num: Int

  26. def numeratorBinned: Binned[Counted, Counted, Counted, Counted]

  27. def numericalNanflow: Double

    Nanflow fraction as a number.

  28. def numericalOverflow: Double

    Overflow fraction as a number.

  29. def numericalUnderflow: Double

    Underflow fraction as a number.

  30. def numericalValues: Seq[Double]

    Bin fractions as numbers.

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

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  32. def toString(): String

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  33. final def wait(): Unit

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

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

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