# FractionedHistogramMethods

#### class FractionedHistogramMethods extends AnyRef

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

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### Value Members

1. #### final def !=(arg0: AnyRef): Boolean

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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)`.

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23. #### final def notify(): Unit

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24. #### final def notifyAll(): Unit

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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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