Std.Stats | Pudu

correlation&Array[Float64] -> &Array[Float64] -> Option[Float64]
Pearson correlation of paired values, from -1 to 1.
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covariance&Array[Float64] -> &Array[Float64] -> Option[Float64]
Sample covariance of paired values; None when the lengths differ or
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deviation&Array[Float64] -> Option[Float64]
Sample standard deviation; None below two values.
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histogram&Array[Float64] -> Float64 -> Float64 -> Int -> Array[Int]
Counts of values in buckets equal-width intervals over [low, high).
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mean&Array[Float64] -> Option[Float64]
The arithmetic mean, or None for an empty sample.
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median&Array[Float64] -> Option[Float64]
The middle value of the sorted sample, averaging the two middle values of
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observe&Std.Stats.Running -> Float64 -> Std.Stats.Running
The accumulator after one more value.
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percentile&Array[Float64] -> Float64 -> Option[Float64]
The value at percentile rank (0 to 100), interpolating linearly between
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populationVariance&Array[Float64] -> Option[Float64]
Population variance with n in the denominator; None for an empty sample.
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runningStd.Stats.Running
An accumulator that has observed nothing.
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Running
A single-pass accumulator: count, mean, sum of squared differences from
type
runningMean&Std.Stats.Running -> Option[Float64]
The mean observed so far; None before the first value.
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runningVariance&Std.Stats.Running -> Option[Float64]
The sample variance observed so far; None below two values.
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summarize&Array[Float64] -> Option[Std.Stats.Summary]
Count, extremes, mean, and sample deviation; None for an empty sample.
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Summary
Count, extremes, mean, and sample deviation of one sample.
type
variance&Array[Float64] -> Option[Float64]
Sample variance with n - 1 in the denominator; None below two values.
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