57 lines
1.5 KiB
Go
57 lines
1.5 KiB
Go
package stats
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import "math"
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// MedianAbsoluteDeviation finds the median of the absolute deviations from the dataset median
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func MedianAbsoluteDeviation(input Float64Data) (mad float64, err error) {
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return MedianAbsoluteDeviationPopulation(input)
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}
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// MedianAbsoluteDeviationPopulation finds the median of the absolute deviations from the population median
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func MedianAbsoluteDeviationPopulation(input Float64Data) (mad float64, err error) {
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if input.Len() == 0 {
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return math.NaN(), EmptyInputErr
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}
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i := copyslice(input)
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m, _ := Median(i)
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for key, value := range i {
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i[key] = math.Abs(value - m)
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}
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return Median(i)
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}
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// StandardDeviation the amount of variation in the dataset
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func StandardDeviation(input Float64Data) (sdev float64, err error) {
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return StandardDeviationPopulation(input)
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}
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// StandardDeviationPopulation finds the amount of variation from the population
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func StandardDeviationPopulation(input Float64Data) (sdev float64, err error) {
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if input.Len() == 0 {
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return math.NaN(), EmptyInputErr
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}
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// Get the population variance
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vp, _ := PopulationVariance(input)
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// Return the population standard deviation
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return math.Pow(vp, 0.5), nil
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}
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// StandardDeviationSample finds the amount of variation from a sample
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func StandardDeviationSample(input Float64Data) (sdev float64, err error) {
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if input.Len() == 0 {
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return math.NaN(), EmptyInputErr
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}
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// Get the sample variance
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vs, _ := SampleVariance(input)
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// Return the sample standard deviation
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return math.Pow(vs, 0.5), nil
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}
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