scalax.cli

Stats

object Stats

Provides statistics related functions.

meansd

The used algorithm is described https://en.wikipedia.org/wiki/Algorithms_for_calculating_variance#Online_algorithm here.

import scalax.cli.Stats

// builds mean and standard deviation
val numbers = Iterator(1.0, 2.0, 3.0)
val (n, mean, sd) = Stats.meansd(numbers)
Source
stats.scala
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  14. def meansd(numbers: Iterator[Double]): (Long, Double, Double)

    Returns amount of numbers read, their mean and standard deviation.

  15. def meansd(sources: List[Source])(handler: (Throwable) ⇒ Unit): (Long, Double, Double)

    Returns amount of numbers read, their mean and standard deviation.

    Returns amount of numbers read, their mean and standard deviation.

    Note

    sources are not closed

  16. def meansdBinned(numbers: Iterator[Double], binWidth: Long): Seq[(Long, Long, Long, Double, Double)]

    Returns amount of numbers read, their mean and standard deviation, grouped by bins like in a histogram.

  17. def meansdBinned(sources: List[Source], binWidth: Long)(handler: (Throwable) ⇒ Unit): Seq[(Long, Long, Long, Double, Double)]

    Returns amount of numbers read, their mean and standard deviation, grouped by bins like in a histogram.

    Returns amount of numbers read, their mean and standard deviation, grouped by bins like in a histogram.

    Note

    sources are not closed

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