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