FractionedHistogramMethods

Value Members

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

   

   Definition Classes

   AnyRef → Any

2. final def ##(): Int

   

   Definition Classes

   AnyRef → Any

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

   

   Definition Classes

   AnyRef → Any

4. final def asInstanceOf[T0]: T0

   

   Definition Classes

   Any

5. def clone(): AnyRef

   

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... )

6. 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).

7. 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).

8. 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).

9. 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).

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

    

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

    

    Definition Classes

    AnyRef

12. def equals(arg0: Any): Boolean

    

    Definition Classes

    AnyRef → Any

13. def finalize(): Unit

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( classOf[java.lang.Throwable] )

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

    

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

    

    Definition Classes

    AnyRef → Any

16. def hashCode(): Int

    

    Definition Classes

    AnyRef → Any

17. def high: Double

    

18. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

19. def low: Double

    

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

    

    Definition Classes

    AnyRef

21. final def notify(): Unit

    

    Definition Classes

    AnyRef

22. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

23. def num: Int

    

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

    

25. def numericalNanflow: Double

    

    Nanflow fraction as a number.

26. def numericalOverflow: Double

    

    Overflow fraction as a number.

27. def numericalUnderflow: Double

    

    Underflow fraction as a number.

28. def numericalValues: Seq[Double]

    

    Bin fractions as numbers.

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

    

    Definition Classes

    AnyRef

30. def toString(): String

    

    Definition Classes

    AnyRef → Any

31. final def wait(): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )