object Statistic extends Error
The Statistic companion object provides additional values and functions.
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- 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
- 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
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- val label: Array[String]
The statistical labels (column headers) as an Array
- val labels: String
The statistical labels (column headers) as a formatted String
- val line: String
The line separator
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