object Statistic extends Error

The Statistic companion object provides additional values and functions.

Linear Supertypes
Error, AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. Statistic
  2. Error
  3. AnyRef
  4. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. Protected

Value Members

  1. def aggregate(subStats: ListBuffer[Statistic], name: String = "a-stat", unbiased: Boolean = false): Statistic

    Aggregate the sub-statistics by summing all accumulators and determining new overall extreme values.

    Aggregate the sub-statistics by summing all accumulators and determining new overall extreme values.

    subStats

    the list of sub-statistics

    name

    the name for the aggregated statistic

    unbiased

    whether the estimators are restricted to be unbiased

  2. def apply(n: Int, sum: Double, sumAb: Double, sumSq: Double, minX: Double, maxX: Double, name: String = "stat", unbiased: Boolean = false): Statistic

    Create a statistical object and set its accumulators and extreme values.

    Create a statistical object and set its accumulators and extreme values.

    n

    the number of samples

    sum

    sum of the sample values

    sumAb

    sum of the sample absolute values

    sumSq

    sum of the sample values squared

    minX

    the minimum sample value

    maxX

    the maximum sample value

    name

    the name for this statistic (e.g., 'waitingTime')

    unbiased

    whether the estimators are restricted to be unbiased

  3. final def flaw(method: String, message: String): Unit
    Definition Classes
    Error
  4. val label: Array[String]

    The statistical labels (column headers) as an Array

  5. val labels: String

    The statistical labels (column headers) as a formatted String

  6. val line: String

    The line separator