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v0.0.0-...-fef7cfc Latest Latest Go to latest Published: Aug 12, 2015 License: GPL-2.0 Imports: 3 Imported by: 0

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github.com/sbinet/gsl

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Documentation ¶

Overview ¶

//////// AUTOMATICALLY GENERATED CODE - DO NOT EDIT //////////

Index ¶

func Absdev(data []float64, stride int, n int) float64
func AbsdevM(data []float64, stride int, n int, mean float64) float64
func CharAbsdev(data []int8, stride int, n int) float64
func CharAbsdevM(data []int8, stride int, n int, mean float64) float64
func CharCorrelation(data1 []int8, stride1 int, data2 []int8, stride2 int, n int) float64
func CharCovariance(data1 []int8, stride1 int, data2 []int8, stride2 int, n int) float64
func CharCovarianceM(data1 []int8, stride1 int, data2 []int8, stride2 int, n int, mean1 float64, ...) float64
func CharKurtosis(data []int8, stride int, n int) float64
func CharKurtosisMSd(data []int8, stride int, n int, mean float64, sd float64) float64
func CharLag1Autocorrelation(data []int8, stride int, n int) float64
func CharLag1AutocorrelationM(data []int8, stride int, n int, mean float64) float64
func CharMax(data []int8, stride int, n int) float64
func CharMaxIndex(data []int8, stride int, n int) int
func CharMean(data []int8, stride int, n int) float64
func CharMedianFromSortedData(sortedData []int8, stride int, n int) float64
func CharMin(data []int8, stride int, n int) float64
func CharMinIndex(data []int8, stride int, n int) int
func CharMinmax(data []int8, stride int, n int) (int8, int8)
func CharMinmaxIndex(data []int8, stride int, n int) (int, int)
func CharQuantileFromSortedData(sortedData []int8, stride int, n int, f float64) float64
func CharSd(data []int8, stride int, n int) float64
func CharSdM(data []int8, stride int, n int, mean float64) float64
func CharSdWithFixedMean(data []int8, stride int, n int, mean float64) float64
func CharSkew(data []int8, stride int, n int) float64
func CharSkewMSd(data []int8, stride int, n int, mean float64, sd float64) float64
func CharSpearman(data1 []int8, stride1 int, data2 []int8, stride2 int, n int, work []float64) float64
func CharTss(data []int8, stride int, n int) float64
func CharTssM(data []int8, stride int, n int, mean float64) float64
func CharVariance(data []int8, stride int, n int) float64
func CharVarianceM(data []int8, stride int, n int, mean float64) float64
func CharVarianceWithFixedMean(data []int8, stride int, n int, mean float64) float64
func Correlation(data1 []float64, stride1 int, data2 []float64, stride2 int, n int) float64
func Covariance(data1 []float64, stride1 int, data2 []float64, stride2 int, n int) float64
func CovarianceM(data1 []float64, stride1 int, data2 []float64, stride2 int, n int, ...) float64
func FloatAbsdev(data []float32, stride int, n int) float64
func FloatAbsdevM(data []float32, stride int, n int, mean float64) float64
func FloatCorrelation(data1 []float32, stride1 int, data2 []float32, stride2 int, n int) float64
func FloatCovariance(data1 []float32, stride1 int, data2 []float32, stride2 int, n int) float64
func FloatCovarianceM(data1 []float32, stride1 int, data2 []float32, stride2 int, n int, ...) float64
func FloatKurtosis(data []float32, stride int, n int) float64
func FloatKurtosisMSd(data []float32, stride int, n int, mean float64, sd float64) float64
func FloatLag1Autocorrelation(data []float32, stride int, n int) float64
func FloatLag1AutocorrelationM(data []float32, stride int, n int, mean float64) float64
func FloatMax(data []float32, stride int, n int) float64
func FloatMaxIndex(data []float32, stride int, n int) int
func FloatMean(data []float32, stride int, n int) float64
func FloatMedianFromSortedData(sortedData []float32, stride int, n int) float64
func FloatMin(data []float32, stride int, n int) float64
func FloatMinIndex(data []float32, stride int, n int) int
func FloatMinmax(data []float32, stride int, n int) (float32, float32)
func FloatMinmaxIndex(data []float32, stride int, n int) (int, int)
func FloatQuantileFromSortedData(sortedData []float32, stride int, n int, f float64) float64
func FloatSd(data []float32, stride int, n int) float64
func FloatSdM(data []float32, stride int, n int, mean float64) float64
func FloatSdWithFixedMean(data []float32, stride int, n int, mean float64) float64
func FloatSkew(data []float32, stride int, n int) float64
func FloatSkewMSd(data []float32, stride int, n int, mean float64, sd float64) float64
func FloatSpearman(data1 []float32, stride1 int, data2 []float32, stride2 int, n int, ...) float64
func FloatTss(data []float32, stride int, n int) float64
func FloatTssM(data []float32, stride int, n int, mean float64) float64
func FloatVariance(data []float32, stride int, n int) float64
func FloatVarianceM(data []float32, stride int, n int, mean float64) float64
func FloatVarianceWithFixedMean(data []float32, stride int, n int, mean float64) float64
func FloatWabsdev(w []float32, wstride int, data []float32, stride int, n int) float32
func FloatWabsdevM(w []float32, wstride int, data []float32, stride int, n int, wmean float64) float32
func FloatWkurtosis(w []float32, wstride int, data []float32, stride int, n int) float32
func FloatWkurtosisMSd(w []float32, wstride int, data []float32, stride int, n int, wmean float64, ...) float32
func FloatWmean(w []float32, wstride int, data []float32, stride int, n int) float32
func FloatWsd(w []float32, wstride int, data []float32, stride int, n int) float32
func FloatWsdM(w []float32, wstride int, data []float32, stride int, n int, wmean float64) float32
func FloatWsdWithFixedMean(w []float32, wstride int, data []float32, stride int, n int, mean float64) float32
func FloatWskew(w []float32, wstride int, data []float32, stride int, n int) float32
func FloatWskewMSd(w []float32, wstride int, data []float32, stride int, n int, wmean float64, ...) float32
func FloatWtss(w []float32, wstride int, data []float32, stride int, n int) float32
func FloatWtssM(w []float32, wstride int, data []float32, stride int, n int, wmean float64) float32
func FloatWvariance(w []float32, wstride int, data []float32, stride int, n int) float32
func FloatWvarianceM(w []float32, wstride int, data []float32, stride int, n int, wmean float64) float32
func FloatWvarianceWithFixedMean(w []float32, wstride int, data []float32, stride int, n int, mean float64) float32
func IntAbsdev(data []int32, stride int, n int) float64
func IntAbsdevM(data []int32, stride int, n int, mean float64) float64
func IntCorrelation(data1 []int32, stride1 int, data2 []int32, stride2 int, n int) float64
func IntCovariance(data1 []int32, stride1 int, data2 []int32, stride2 int, n int) float64
func IntCovarianceM(data1 []int32, stride1 int, data2 []int32, stride2 int, n int, mean1 float64, ...) float64
func IntKurtosis(data []int32, stride int, n int) float64
func IntKurtosisMSd(data []int32, stride int, n int, mean float64, sd float64) float64
func IntLag1Autocorrelation(data []int32, stride int, n int) float64
func IntLag1AutocorrelationM(data []int32, stride int, n int, mean float64) float64
func IntMax(data []int32, stride int, n int) float64
func IntMaxIndex(data []int32, stride int, n int) int
func IntMean(data []int32, stride int, n int) float64
func IntMedianFromSortedData(sortedData []int32, stride int, n int) float64
func IntMin(data []int32, stride int, n int) float64
func IntMinIndex(data []int32, stride int, n int) int
func IntMinmax(data []int32, stride int, n int) (int32, int32)
func IntMinmaxIndex(data []int32, stride int, n int) (int, int)
func IntQuantileFromSortedData(sortedData []int32, stride int, n int, f float64) float64
func IntSd(data []int32, stride int, n int) float64
func IntSdM(data []int32, stride int, n int, mean float64) float64
func IntSdWithFixedMean(data []int32, stride int, n int, mean float64) float64
func IntSkew(data []int32, stride int, n int) float64
func IntSkewMSd(data []int32, stride int, n int, mean float64, sd float64) float64
func IntSpearman(data1 []int32, stride1 int, data2 []int32, stride2 int, n int, work []float64) float64
func IntTss(data []int32, stride int, n int) float64
func IntTssM(data []int32, stride int, n int, mean float64) float64
func IntVariance(data []int32, stride int, n int) float64
func IntVarianceM(data []int32, stride int, n int, mean float64) float64
func IntVarianceWithFixedMean(data []int32, stride int, n int, mean float64) float64
func Kurtosis(data []float64, stride int, n int) float64
func KurtosisMSd(data []float64, stride int, n int, mean float64, sd float64) float64
func Lag1Autocorrelation(data []float64, stride int, n int) float64
func Lag1AutocorrelationM(data []float64, stride int, n int, mean float64) float64
func LongAbsdev(data []uint, stride int, n int) float64
func LongAbsdevM(data []uint, stride int, n int, mean float64) float64
func LongCorrelation(data1 []uint, stride1 int, data2 []uint, stride2 int, n int) float64
func LongCovariance(data1 []uint, stride1 int, data2 []uint, stride2 int, n int) float64
func LongCovarianceM(data1 []uint, stride1 int, data2 []uint, stride2 int, n int, mean1 float64, ...) float64
func LongKurtosis(data []uint, stride int, n int) float64
func LongKurtosisMSd(data []uint, stride int, n int, mean float64, sd float64) float64
func LongLag1Autocorrelation(data []uint, stride int, n int) float64
func LongLag1AutocorrelationM(data []uint, stride int, n int, mean float64) float64
func LongMax(data []uint, stride int, n int) float64
func LongMaxIndex(data []uint, stride int, n int) int
func LongMean(data []uint, stride int, n int) float64
func LongMedianFromSortedData(sortedData []uint, stride int, n int) float64
func LongMin(data []uint, stride int, n int) float64
func LongMinIndex(data []uint, stride int, n int) int
func LongMinmax(data []uint, stride int, n int) (uint, uint)
func LongMinmaxIndex(data []uint, stride int, n int) (int, int)
func LongQuantileFromSortedData(sortedData []uint, stride int, n int, f float64) float64
func LongSd(data []uint, stride int, n int) float64
func LongSdM(data []uint, stride int, n int, mean float64) float64
func LongSdWithFixedMean(data []uint, stride int, n int, mean float64) float64
func LongSkew(data []uint, stride int, n int) float64
func LongSkewMSd(data []uint, stride int, n int, mean float64, sd float64) float64
func LongSpearman(data1 []uint, stride1 int, data2 []uint, stride2 int, n int, work []float64) float64
func LongTss(data []uint, stride int, n int) float64
func LongTssM(data []uint, stride int, n int, mean float64) float64
func LongVariance(data []uint, stride int, n int) float64
func LongVarianceM(data []uint, stride int, n int, mean float64) float64
func LongVarianceWithFixedMean(data []uint, stride int, n int, mean float64) float64
func Max(data []float64, stride int, n int) float64
func MaxIndex(data []float64, stride int, n int) int
func Mean(data []float64, stride int, n int) float64
func MedianFromSortedData(sortedData []float64, stride int, n int) float64
func Min(data []float64, stride int, n int) float64
func MinIndex(data []float64, stride int, n int) int
func Minmax(data []float64, stride int, n int) (float64, float64)
func MinmaxIndex(data []float64, stride int, n int) (int, int)
func QuantileFromSortedData(sortedData []float64, stride int, n int, f float64) float64
func Sd(data []float64, stride int, n int) float64
func SdM(data []float64, stride int, n int, mean float64) float64
func SdWithFixedMean(data []float64, stride int, n int, mean float64) float64
func ShortAbsdev(data []int16, stride int, n int) float64
func ShortAbsdevM(data []int16, stride int, n int, mean float64) float64
func ShortCorrelation(data1 []int16, stride1 int, data2 []int16, stride2 int, n int) float64
func ShortCovariance(data1 []int16, stride1 int, data2 []int16, stride2 int, n int) float64
func ShortCovarianceM(data1 []int16, stride1 int, data2 []int16, stride2 int, n int, mean1 float64, ...) float64
func ShortKurtosis(data []int16, stride int, n int) float64
func ShortKurtosisMSd(data []int16, stride int, n int, mean float64, sd float64) float64
func ShortLag1Autocorrelation(data []int16, stride int, n int) float64
func ShortLag1AutocorrelationM(data []int16, stride int, n int, mean float64) float64
func ShortMax(data []int16, stride int, n int) float64
func ShortMaxIndex(data []int16, stride int, n int) int
func ShortMean(data []int16, stride int, n int) float64
func ShortMedianFromSortedData(sortedData []int16, stride int, n int) float64
func ShortMin(data []int16, stride int, n int) float64
func ShortMinIndex(data []int16, stride int, n int) int
func ShortMinmax(data []int16, stride int, n int) (int16, int16)
func ShortMinmaxIndex(data []int16, stride int, n int) (int, int)
func ShortQuantileFromSortedData(sortedData []int16, stride int, n int, f float64) float64
func ShortSd(data []int16, stride int, n int) float64
func ShortSdM(data []int16, stride int, n int, mean float64) float64
func ShortSdWithFixedMean(data []int16, stride int, n int, mean float64) float64
func ShortSkew(data []int16, stride int, n int) float64
func ShortSkewMSd(data []int16, stride int, n int, mean float64, sd float64) float64
func ShortSpearman(data1 []int16, stride1 int, data2 []int16, stride2 int, n int, work []float64) float64
func ShortTss(data []int16, stride int, n int) float64
func ShortTssM(data []int16, stride int, n int, mean float64) float64
func ShortVariance(data []int16, stride int, n int) float64
func ShortVarianceM(data []int16, stride int, n int, mean float64) float64
func ShortVarianceWithFixedMean(data []int16, stride int, n int, mean float64) float64
func Skew(data []float64, stride int, n int) float64
func SkewMSd(data []float64, stride int, n int, mean float64, sd float64) float64
func Spearman(data1 []float64, stride1 int, data2 []float64, stride2 int, n int, ...) float64
func Tss(data []float64, stride int, n int) float64
func TssM(data []float64, stride int, n int, mean float64) float64
func UcharAbsdev(data []uint8, stride int, n int) float64
func UcharAbsdevM(data []uint8, stride int, n int, mean float64) float64
func UcharCorrelation(data1 []uint8, stride1 int, data2 []uint8, stride2 int, n int) float64
func UcharCovariance(data1 []uint8, stride1 int, data2 []uint8, stride2 int, n int) float64
func UcharCovarianceM(data1 []uint8, stride1 int, data2 []uint8, stride2 int, n int, mean1 float64, ...) float64
func UcharKurtosis(data []uint8, stride int, n int) float64
func UcharKurtosisMSd(data []uint8, stride int, n int, mean float64, sd float64) float64
func UcharLag1Autocorrelation(data []uint8, stride int, n int) float64
func UcharLag1AutocorrelationM(data []uint8, stride int, n int, mean float64) float64
func UcharMax(data []uint8, stride int, n int) float64
func UcharMaxIndex(data []uint8, stride int, n int) int
func UcharMean(data []uint8, stride int, n int) float64
func UcharMedianFromSortedData(sortedData []uint8, stride int, n int) float64
func UcharMin(data []uint8, stride int, n int) float64
func UcharMinIndex(data []uint8, stride int, n int) int
func UcharMinmax(data []uint8, stride int, n int) (uint8, uint8)
func UcharMinmaxIndex(data []uint8, stride int, n int) (int, int)
func UcharQuantileFromSortedData(sortedData []uint8, stride int, n int, f float64) float64
func UcharSd(data []uint8, stride int, n int) float64
func UcharSdM(data []uint8, stride int, n int, mean float64) float64
func UcharSdWithFixedMean(data []uint8, stride int, n int, mean float64) float64
func UcharSkew(data []uint8, stride int, n int) float64
func UcharSkewMSd(data []uint8, stride int, n int, mean float64, sd float64) float64
func UcharSpearman(data1 []uint8, stride1 int, data2 []uint8, stride2 int, n int, work []float64) float64
func UcharTss(data []uint8, stride int, n int) float64
func UcharTssM(data []uint8, stride int, n int, mean float64) float64
func UcharVariance(data []uint8, stride int, n int) float64
func UcharVarianceM(data []uint8, stride int, n int, mean float64) float64
func UcharVarianceWithFixedMean(data []uint8, stride int, n int, mean float64) float64
func UintAbsdev(data []uint32, stride int, n int) float64
func UintAbsdevM(data []uint32, stride int, n int, mean float64) float64
func UintCorrelation(data1 []uint32, stride1 int, data2 []uint32, stride2 int, n int) float64
func UintCovariance(data1 []uint32, stride1 int, data2 []uint32, stride2 int, n int) float64
func UintCovarianceM(data1 []uint32, stride1 int, data2 []uint32, stride2 int, n int, mean1 float64, ...) float64
func UintKurtosis(data []uint32, stride int, n int) float64
func UintKurtosisMSd(data []uint32, stride int, n int, mean float64, sd float64) float64
func UintLag1Autocorrelation(data []uint32, stride int, n int) float64
func UintLag1AutocorrelationM(data []uint32, stride int, n int, mean float64) float64
func UintMax(data []uint32, stride int, n int) float64
func UintMaxIndex(data []uint32, stride int, n int) int
func UintMean(data []uint32, stride int, n int) float64
func UintMedianFromSortedData(sortedData []uint32, stride int, n int) float64
func UintMin(data []uint32, stride int, n int) float64
func UintMinIndex(data []uint32, stride int, n int) int
func UintMinmax(data []uint32, stride int, n int) (uint32, uint32)
func UintMinmaxIndex(data []uint32, stride int, n int) (int, int)
func UintQuantileFromSortedData(sortedData []uint32, stride int, n int, f float64) float64
func UintSd(data []uint32, stride int, n int) float64
func UintSdM(data []uint32, stride int, n int, mean float64) float64
func UintSdWithFixedMean(data []uint32, stride int, n int, mean float64) float64
func UintSkew(data []uint32, stride int, n int) float64
func UintSkewMSd(data []uint32, stride int, n int, mean float64, sd float64) float64
func UintSpearman(data1 []uint32, stride1 int, data2 []uint32, stride2 int, n int, ...) float64
func UintTss(data []uint32, stride int, n int) float64
func UintTssM(data []uint32, stride int, n int, mean float64) float64
func UintVariance(data []uint32, stride int, n int) float64
func UintVarianceM(data []uint32, stride int, n int, mean float64) float64
func UintVarianceWithFixedMean(data []uint32, stride int, n int, mean float64) float64
func UlongAbsdev(data []int, stride int, n int) float64
func UlongAbsdevM(data []int, stride int, n int, mean float64) float64
func UlongCorrelation(data1 []int, stride1 int, data2 []int, stride2 int, n int) float64
func UlongCovariance(data1 []int, stride1 int, data2 []int, stride2 int, n int) float64
func UlongCovarianceM(data1 []int, stride1 int, data2 []int, stride2 int, n int, mean1 float64, ...) float64
func UlongKurtosis(data []int, stride int, n int) float64
func UlongKurtosisMSd(data []int, stride int, n int, mean float64, sd float64) float64
func UlongLag1Autocorrelation(data []int, stride int, n int) float64
func UlongLag1AutocorrelationM(data []int, stride int, n int, mean float64) float64
func UlongMax(data []int, stride int, n int) float64
func UlongMaxIndex(data []int, stride int, n int) int
func UlongMean(data []int, stride int, n int) float64
func UlongMedianFromSortedData(sortedData []int, stride int, n int) float64
func UlongMin(data []int, stride int, n int) float64
func UlongMinIndex(data []int, stride int, n int) int
func UlongMinmax(data []int, stride int, n int) (int, int)
func UlongMinmaxIndex(data []int, stride int, n int) (int, int)
func UlongQuantileFromSortedData(sortedData []int, stride int, n int, f float64) float64
func UlongSd(data []int, stride int, n int) float64
func UlongSdM(data []int, stride int, n int, mean float64) float64
func UlongSdWithFixedMean(data []int, stride int, n int, mean float64) float64
func UlongSkew(data []int, stride int, n int) float64
func UlongSkewMSd(data []int, stride int, n int, mean float64, sd float64) float64
func UlongSpearman(data1 []int, stride1 int, data2 []int, stride2 int, n int, work []float64) float64
func UlongTss(data []int, stride int, n int) float64
func UlongTssM(data []int, stride int, n int, mean float64) float64
func UlongVariance(data []int, stride int, n int) float64
func UlongVarianceM(data []int, stride int, n int, mean float64) float64
func UlongVarianceWithFixedMean(data []int, stride int, n int, mean float64) float64
func UshortAbsdev(data []int16, stride int, n int) float64
func UshortAbsdevM(data []int16, stride int, n int, mean float64) float64
func UshortCorrelation(data1 []int16, stride1 int, data2 []int16, stride2 int, n int) float64
func UshortCovariance(data1 []int16, stride1 int, data2 []int16, stride2 int, n int) float64
func UshortCovarianceM(data1 []int16, stride1 int, data2 []int16, stride2 int, n int, mean1 float64, ...) float64
func UshortKurtosis(data []int16, stride int, n int) float64
func UshortKurtosisMSd(data []int16, stride int, n int, mean float64, sd float64) float64
func UshortLag1Autocorrelation(data []int16, stride int, n int) float64
func UshortLag1AutocorrelationM(data []int16, stride int, n int, mean float64) float64
func UshortMax(data []int16, stride int, n int) float64
func UshortMaxIndex(data []int16, stride int, n int) int
func UshortMean(data []int16, stride int, n int) float64
func UshortMedianFromSortedData(sortedData []int16, stride int, n int) float64
func UshortMin(data []int16, stride int, n int) float64
func UshortMinIndex(data []int16, stride int, n int) int
func UshortMinmax(data []int16, stride int, n int) (int16, int16)
func UshortMinmaxIndex(data []int16, stride int, n int) (int, int)
func UshortQuantileFromSortedData(sortedData []int16, stride int, n int, f float64) float64
func UshortSd(data []int16, stride int, n int) float64
func UshortSdM(data []int16, stride int, n int, mean float64) float64
func UshortSdWithFixedMean(data []int16, stride int, n int, mean float64) float64
func UshortSkew(data []int16, stride int, n int) float64
func UshortSkewMSd(data []int16, stride int, n int, mean float64, sd float64) float64
func UshortSpearman(data1 []int16, stride1 int, data2 []int16, stride2 int, n int, work []float64) float64
func UshortTss(data []int16, stride int, n int) float64
func UshortTssM(data []int16, stride int, n int, mean float64) float64
func UshortVariance(data []int16, stride int, n int) float64
func UshortVarianceM(data []int16, stride int, n int, mean float64) float64
func UshortVarianceWithFixedMean(data []int16, stride int, n int, mean float64) float64
func Variance(data []float64, stride int, n int) float64
func VarianceM(data []float64, stride int, n int, mean float64) float64
func VarianceWithFixedMean(data []float64, stride int, n int, mean float64) float64
func Wabsdev(w []float64, wstride int, data []float64, stride int, n int) float64
func WabsdevM(w []float64, wstride int, data []float64, stride int, n int, wmean float64) float64
func Wkurtosis(w []float64, wstride int, data []float64, stride int, n int) float64
func WkurtosisMSd(w []float64, wstride int, data []float64, stride int, n int, wmean float64, ...) float64
func Wmean(w []float64, wstride int, data []float64, stride int, n int) float64
func Wsd(w []float64, wstride int, data []float64, stride int, n int) float64
func WsdM(w []float64, wstride int, data []float64, stride int, n int, wmean float64) float64
func WsdWithFixedMean(w []float64, wstride int, data []float64, stride int, n int, mean float64) float64
func Wskew(w []float64, wstride int, data []float64, stride int, n int) float64
func WskewMSd(w []float64, wstride int, data []float64, stride int, n int, wmean float64, ...) float64
func Wtss(w []float64, wstride int, data []float64, stride int, n int) float64
func WtssM(w []float64, wstride int, data []float64, stride int, n int, wmean float64) float64
func Wvariance(w []float64, wstride int, data []float64, stride int, n int) float64
func WvarianceM(w []float64, wstride int, data []float64, stride int, n int, wmean float64) float64
func WvarianceWithFixedMean(w []float64, wstride int, data []float64, stride int, n int, mean float64) float64

Constants ¶

This section is empty.

Variables ¶

This section is empty.

Functions ¶

func Absdev ¶

func Absdev(data []float64, stride int, n int) float64

func AbsdevM ¶

func AbsdevM(data []float64, stride int, n int, mean float64) float64

func CharAbsdev ¶

func CharAbsdev(data []int8, stride int, n int) float64

func CharAbsdevM ¶

func CharAbsdevM(data []int8, stride int, n int, mean float64) float64

func CharCorrelation ¶

func CharCorrelation(data1 []int8, stride1 int, data2 []int8, stride2 int, n int) float64

func CharCovariance ¶

func CharCovariance(data1 []int8, stride1 int, data2 []int8, stride2 int, n int) float64

func CharCovarianceM ¶

func CharCovarianceM(data1 []int8, stride1 int, data2 []int8, stride2 int, n int, mean1 float64, mean2 float64) float64

func CharKurtosis ¶

func CharKurtosis(data []int8, stride int, n int) float64

func CharKurtosisMSd ¶

func CharKurtosisMSd(data []int8, stride int, n int, mean float64, sd float64) float64

func CharLag1Autocorrelation ¶

func CharLag1Autocorrelation(data []int8, stride int, n int) float64

func CharLag1AutocorrelationM ¶

func CharLag1AutocorrelationM(data []int8, stride int, n int, mean float64) float64

func CharMax ¶

func CharMax(data []int8, stride int, n int) float64

func CharMaxIndex ¶

func CharMaxIndex(data []int8, stride int, n int) int

func CharMean ¶

func CharMean(data []int8, stride int, n int) float64

func CharMedianFromSortedData ¶

func CharMedianFromSortedData(sortedData []int8, stride int, n int) float64

func CharMin ¶

func CharMin(data []int8, stride int, n int) float64

func CharMinIndex ¶

func CharMinIndex(data []int8, stride int, n int) int

func CharMinmax ¶

func CharMinmax(data []int8, stride int, n int) (int8, int8)

func CharMinmaxIndex ¶

func CharMinmaxIndex(data []int8, stride int, n int) (int, int)

func CharQuantileFromSortedData ¶

func CharQuantileFromSortedData(sortedData []int8, stride int, n int, f float64) float64

func CharSd ¶

func CharSd(data []int8, stride int, n int) float64

func CharSdM ¶

func CharSdM(data []int8, stride int, n int, mean float64) float64

func CharSdWithFixedMean ¶

func CharSdWithFixedMean(data []int8, stride int, n int, mean float64) float64

func CharSkew ¶

func CharSkew(data []int8, stride int, n int) float64

func CharSkewMSd ¶

func CharSkewMSd(data []int8, stride int, n int, mean float64, sd float64) float64

func CharSpearman ¶

func CharSpearman(data1 []int8, stride1 int, data2 []int8, stride2 int, n int, work []float64) float64

func CharTss ¶

func CharTss(data []int8, stride int, n int) float64

func CharTssM ¶

func CharTssM(data []int8, stride int, n int, mean float64) float64

func CharVariance ¶

func CharVariance(data []int8, stride int, n int) float64

func CharVarianceM ¶

func CharVarianceM(data []int8, stride int, n int, mean float64) float64

func CharVarianceWithFixedMean ¶

func CharVarianceWithFixedMean(data []int8, stride int, n int, mean float64) float64

func Correlation ¶

func Correlation(data1 []float64, stride1 int, data2 []float64, stride2 int, n int) float64

func Covariance ¶

func Covariance(data1 []float64, stride1 int, data2 []float64, stride2 int, n int) float64

func CovarianceM ¶

func CovarianceM(data1 []float64, stride1 int, data2 []float64, stride2 int, n int, mean1 float64, mean2 float64) float64

func FloatAbsdev ¶

func FloatAbsdev(data []float32, stride int, n int) float64

func FloatAbsdevM ¶

func FloatAbsdevM(data []float32, stride int, n int, mean float64) float64

func FloatCorrelation ¶

func FloatCorrelation(data1 []float32, stride1 int, data2 []float32, stride2 int, n int) float64

func FloatCovariance ¶

func FloatCovariance(data1 []float32, stride1 int, data2 []float32, stride2 int, n int) float64

func FloatCovarianceM ¶

func FloatCovarianceM(data1 []float32, stride1 int, data2 []float32, stride2 int, n int, mean1 float64, mean2 float64) float64

func FloatKurtosis ¶

func FloatKurtosis(data []float32, stride int, n int) float64

func FloatKurtosisMSd ¶

func FloatKurtosisMSd(data []float32, stride int, n int, mean float64, sd float64) float64

func FloatLag1Autocorrelation ¶

func FloatLag1Autocorrelation(data []float32, stride int, n int) float64

func FloatLag1AutocorrelationM ¶

func FloatLag1AutocorrelationM(data []float32, stride int, n int, mean float64) float64

func FloatMax ¶

func FloatMax(data []float32, stride int, n int) float64

func FloatMaxIndex ¶

func FloatMaxIndex(data []float32, stride int, n int) int

func FloatMean ¶

func FloatMean(data []float32, stride int, n int) float64

func FloatMedianFromSortedData ¶

func FloatMedianFromSortedData(sortedData []float32, stride int, n int) float64

func FloatMin ¶

func FloatMin(data []float32, stride int, n int) float64

func FloatMinIndex ¶

func FloatMinIndex(data []float32, stride int, n int) int

func FloatMinmax ¶

func FloatMinmax(data []float32, stride int, n int) (float32, float32)

func FloatMinmaxIndex ¶

func FloatMinmaxIndex(data []float32, stride int, n int) (int, int)

func FloatQuantileFromSortedData ¶

func FloatQuantileFromSortedData(sortedData []float32, stride int, n int, f float64) float64

func FloatSd ¶

func FloatSd(data []float32, stride int, n int) float64

func FloatSdM ¶

func FloatSdM(data []float32, stride int, n int, mean float64) float64

func FloatSdWithFixedMean ¶

func FloatSdWithFixedMean(data []float32, stride int, n int, mean float64) float64

func FloatSkew ¶

func FloatSkew(data []float32, stride int, n int) float64

func FloatSkewMSd ¶

func FloatSkewMSd(data []float32, stride int, n int, mean float64, sd float64) float64

func FloatSpearman ¶

func FloatSpearman(data1 []float32, stride1 int, data2 []float32, stride2 int, n int, work []float64) float64

func FloatTss ¶

func FloatTss(data []float32, stride int, n int) float64

func FloatTssM ¶

func FloatTssM(data []float32, stride int, n int, mean float64) float64

func FloatVariance ¶

func FloatVariance(data []float32, stride int, n int) float64

func FloatVarianceM ¶

func FloatVarianceM(data []float32, stride int, n int, mean float64) float64

func FloatVarianceWithFixedMean ¶

func FloatVarianceWithFixedMean(data []float32, stride int, n int, mean float64) float64

func FloatWabsdev ¶

func FloatWabsdev(w []float32, wstride int, data []float32, stride int, n int) float32

func FloatWabsdevM ¶

func FloatWabsdevM(w []float32, wstride int, data []float32, stride int, n int, wmean float64) float32

func FloatWkurtosis ¶

func FloatWkurtosis(w []float32, wstride int, data []float32, stride int, n int) float32

func FloatWkurtosisMSd ¶

func FloatWkurtosisMSd(w []float32, wstride int, data []float32, stride int, n int, wmean float64, wsd float64) float32

func FloatWmean ¶

func FloatWmean(w []float32, wstride int, data []float32, stride int, n int) float32

func FloatWsd ¶

func FloatWsd(w []float32, wstride int, data []float32, stride int, n int) float32

func FloatWsdM ¶

func FloatWsdM(w []float32, wstride int, data []float32, stride int, n int, wmean float64) float32

func FloatWsdWithFixedMean ¶

func FloatWsdWithFixedMean(w []float32, wstride int, data []float32, stride int, n int, mean float64) float32

func FloatWskew ¶

func FloatWskew(w []float32, wstride int, data []float32, stride int, n int) float32

func FloatWskewMSd ¶

func FloatWskewMSd(w []float32, wstride int, data []float32, stride int, n int, wmean float64, wsd float64) float32

func FloatWtss ¶

func FloatWtss(w []float32, wstride int, data []float32, stride int, n int) float32

func FloatWtssM ¶

func FloatWtssM(w []float32, wstride int, data []float32, stride int, n int, wmean float64) float32

func FloatWvariance ¶

func FloatWvariance(w []float32, wstride int, data []float32, stride int, n int) float32

func FloatWvarianceM ¶

func FloatWvarianceM(w []float32, wstride int, data []float32, stride int, n int, wmean float64) float32

func FloatWvarianceWithFixedMean ¶

func FloatWvarianceWithFixedMean(w []float32, wstride int, data []float32, stride int, n int, mean float64) float32

func IntAbsdev ¶

func IntAbsdev(data []int32, stride int, n int) float64

func IntAbsdevM ¶

func IntAbsdevM(data []int32, stride int, n int, mean float64) float64

func IntCorrelation ¶

func IntCorrelation(data1 []int32, stride1 int, data2 []int32, stride2 int, n int) float64

func IntCovariance ¶

func IntCovariance(data1 []int32, stride1 int, data2 []int32, stride2 int, n int) float64

func IntCovarianceM ¶

func IntCovarianceM(data1 []int32, stride1 int, data2 []int32, stride2 int, n int, mean1 float64, mean2 float64) float64

func IntKurtosis ¶

func IntKurtosis(data []int32, stride int, n int) float64

func IntKurtosisMSd ¶

func IntKurtosisMSd(data []int32, stride int, n int, mean float64, sd float64) float64

func IntLag1Autocorrelation ¶

func IntLag1Autocorrelation(data []int32, stride int, n int) float64

func IntLag1AutocorrelationM ¶

func IntLag1AutocorrelationM(data []int32, stride int, n int, mean float64) float64

func IntMax ¶

func IntMax(data []int32, stride int, n int) float64

func IntMaxIndex ¶

func IntMaxIndex(data []int32, stride int, n int) int

func IntMean ¶

func IntMean(data []int32, stride int, n int) float64

func IntMedianFromSortedData ¶

func IntMedianFromSortedData(sortedData []int32, stride int, n int) float64

func IntMin ¶

func IntMin(data []int32, stride int, n int) float64

func IntMinIndex ¶

func IntMinIndex(data []int32, stride int, n int) int

func IntMinmax ¶

func IntMinmax(data []int32, stride int, n int) (int32, int32)

func IntMinmaxIndex ¶

func IntMinmaxIndex(data []int32, stride int, n int) (int, int)

func IntQuantileFromSortedData ¶

func IntQuantileFromSortedData(sortedData []int32, stride int, n int, f float64) float64

func IntSd ¶

func IntSd(data []int32, stride int, n int) float64

func IntSdM ¶

func IntSdM(data []int32, stride int, n int, mean float64) float64

func IntSdWithFixedMean ¶

func IntSdWithFixedMean(data []int32, stride int, n int, mean float64) float64

func IntSkew ¶

func IntSkew(data []int32, stride int, n int) float64

func IntSkewMSd ¶

func IntSkewMSd(data []int32, stride int, n int, mean float64, sd float64) float64

func IntSpearman ¶

func IntSpearman(data1 []int32, stride1 int, data2 []int32, stride2 int, n int, work []float64) float64

func IntTss ¶

func IntTss(data []int32, stride int, n int) float64

func IntTssM ¶

func IntTssM(data []int32, stride int, n int, mean float64) float64

func IntVariance ¶

func IntVariance(data []int32, stride int, n int) float64

func IntVarianceM ¶

func IntVarianceM(data []int32, stride int, n int, mean float64) float64

func IntVarianceWithFixedMean ¶

func IntVarianceWithFixedMean(data []int32, stride int, n int, mean float64) float64

func Kurtosis ¶

func Kurtosis(data []float64, stride int, n int) float64

func KurtosisMSd ¶

func KurtosisMSd(data []float64, stride int, n int, mean float64, sd float64) float64

func Lag1Autocorrelation ¶

func Lag1Autocorrelation(data []float64, stride int, n int) float64

func Lag1AutocorrelationM ¶

func Lag1AutocorrelationM(data []float64, stride int, n int, mean float64) float64

func LongAbsdev ¶

func LongAbsdev(data []uint, stride int, n int) float64

func LongAbsdevM ¶

func LongAbsdevM(data []uint, stride int, n int, mean float64) float64

func LongCorrelation ¶

func LongCorrelation(data1 []uint, stride1 int, data2 []uint, stride2 int, n int) float64

func LongCovariance ¶

func LongCovariance(data1 []uint, stride1 int, data2 []uint, stride2 int, n int) float64

func LongCovarianceM ¶

func LongCovarianceM(data1 []uint, stride1 int, data2 []uint, stride2 int, n int, mean1 float64, mean2 float64) float64

func LongKurtosis ¶

func LongKurtosis(data []uint, stride int, n int) float64

func LongKurtosisMSd ¶

func LongKurtosisMSd(data []uint, stride int, n int, mean float64, sd float64) float64

func LongLag1Autocorrelation ¶

func LongLag1Autocorrelation(data []uint, stride int, n int) float64

func LongLag1AutocorrelationM ¶

func LongLag1AutocorrelationM(data []uint, stride int, n int, mean float64) float64

func LongMax ¶

func LongMax(data []uint, stride int, n int) float64

func LongMaxIndex ¶

func LongMaxIndex(data []uint, stride int, n int) int

func LongMean ¶

func LongMean(data []uint, stride int, n int) float64

func LongMedianFromSortedData ¶

func LongMedianFromSortedData(sortedData []uint, stride int, n int) float64

func LongMin ¶

func LongMin(data []uint, stride int, n int) float64

func LongMinIndex ¶

func LongMinIndex(data []uint, stride int, n int) int

func LongMinmax ¶

func LongMinmax(data []uint, stride int, n int) (uint, uint)

func LongMinmaxIndex ¶

func LongMinmaxIndex(data []uint, stride int, n int) (int, int)

func LongQuantileFromSortedData ¶

func LongQuantileFromSortedData(sortedData []uint, stride int, n int, f float64) float64

func LongSd ¶

func LongSd(data []uint, stride int, n int) float64

func LongSdM ¶

func LongSdM(data []uint, stride int, n int, mean float64) float64

func LongSdWithFixedMean ¶

func LongSdWithFixedMean(data []uint, stride int, n int, mean float64) float64

func LongSkew ¶

func LongSkew(data []uint, stride int, n int) float64

func LongSkewMSd ¶

func LongSkewMSd(data []uint, stride int, n int, mean float64, sd float64) float64

func LongSpearman ¶

func LongSpearman(data1 []uint, stride1 int, data2 []uint, stride2 int, n int, work []float64) float64

func LongTss ¶

func LongTss(data []uint, stride int, n int) float64

func LongTssM ¶

func LongTssM(data []uint, stride int, n int, mean float64) float64

func LongVariance ¶

func LongVariance(data []uint, stride int, n int) float64

func LongVarianceM ¶

func LongVarianceM(data []uint, stride int, n int, mean float64) float64

func LongVarianceWithFixedMean ¶

func LongVarianceWithFixedMean(data []uint, stride int, n int, mean float64) float64

func Max ¶

func Max(data []float64, stride int, n int) float64

func MaxIndex ¶

func MaxIndex(data []float64, stride int, n int) int

func Mean ¶

func Mean(data []float64, stride int, n int) float64

func MedianFromSortedData ¶

func MedianFromSortedData(sortedData []float64, stride int, n int) float64

func Min ¶

func Min(data []float64, stride int, n int) float64

func MinIndex ¶

func MinIndex(data []float64, stride int, n int) int

func Minmax ¶

func Minmax(data []float64, stride int, n int) (float64, float64)

func MinmaxIndex ¶

func MinmaxIndex(data []float64, stride int, n int) (int, int)

func QuantileFromSortedData ¶

func QuantileFromSortedData(sortedData []float64, stride int, n int, f float64) float64

func Sd ¶

func Sd(data []float64, stride int, n int) float64

func SdM ¶

func SdM(data []float64, stride int, n int, mean float64) float64

func SdWithFixedMean ¶

func SdWithFixedMean(data []float64, stride int, n int, mean float64) float64

func ShortAbsdev ¶

func ShortAbsdev(data []int16, stride int, n int) float64

func ShortAbsdevM ¶

func ShortAbsdevM(data []int16, stride int, n int, mean float64) float64

func ShortCorrelation ¶

func ShortCorrelation(data1 []int16, stride1 int, data2 []int16, stride2 int, n int) float64

func ShortCovariance ¶

func ShortCovariance(data1 []int16, stride1 int, data2 []int16, stride2 int, n int) float64

func ShortCovarianceM ¶

func ShortCovarianceM(data1 []int16, stride1 int, data2 []int16, stride2 int, n int, mean1 float64, mean2 float64) float64

func ShortKurtosis ¶

func ShortKurtosis(data []int16, stride int, n int) float64

func ShortKurtosisMSd ¶

func ShortKurtosisMSd(data []int16, stride int, n int, mean float64, sd float64) float64

func ShortLag1Autocorrelation ¶

func ShortLag1Autocorrelation(data []int16, stride int, n int) float64

func ShortLag1AutocorrelationM ¶

func ShortLag1AutocorrelationM(data []int16, stride int, n int, mean float64) float64

func ShortMax ¶

func ShortMax(data []int16, stride int, n int) float64

func ShortMaxIndex ¶

func ShortMaxIndex(data []int16, stride int, n int) int

func ShortMean ¶

func ShortMean(data []int16, stride int, n int) float64

func ShortMedianFromSortedData ¶

func ShortMedianFromSortedData(sortedData []int16, stride int, n int) float64

func ShortMin ¶

func ShortMin(data []int16, stride int, n int) float64

func ShortMinIndex ¶

func ShortMinIndex(data []int16, stride int, n int) int

func ShortMinmax ¶

func ShortMinmax(data []int16, stride int, n int) (int16, int16)

func ShortMinmaxIndex ¶

func ShortMinmaxIndex(data []int16, stride int, n int) (int, int)

func ShortQuantileFromSortedData ¶

func ShortQuantileFromSortedData(sortedData []int16, stride int, n int, f float64) float64

func ShortSd ¶

func ShortSd(data []int16, stride int, n int) float64

func ShortSdM ¶

func ShortSdM(data []int16, stride int, n int, mean float64) float64

func ShortSdWithFixedMean ¶

func ShortSdWithFixedMean(data []int16, stride int, n int, mean float64) float64

func ShortSkew ¶

func ShortSkew(data []int16, stride int, n int) float64

func ShortSkewMSd ¶

func ShortSkewMSd(data []int16, stride int, n int, mean float64, sd float64) float64

func ShortSpearman ¶

func ShortSpearman(data1 []int16, stride1 int, data2 []int16, stride2 int, n int, work []float64) float64

func ShortTss ¶

func ShortTss(data []int16, stride int, n int) float64

func ShortTssM ¶

func ShortTssM(data []int16, stride int, n int, mean float64) float64

func ShortVariance ¶

func ShortVariance(data []int16, stride int, n int) float64

func ShortVarianceM ¶

func ShortVarianceM(data []int16, stride int, n int, mean float64) float64

func ShortVarianceWithFixedMean ¶

func ShortVarianceWithFixedMean(data []int16, stride int, n int, mean float64) float64

func Skew ¶

func Skew(data []float64, stride int, n int) float64

func SkewMSd ¶

func SkewMSd(data []float64, stride int, n int, mean float64, sd float64) float64

func Spearman ¶

func Spearman(data1 []float64, stride1 int, data2 []float64, stride2 int, n int, work []float64) float64

func Tss ¶

func Tss(data []float64, stride int, n int) float64

func TssM ¶

func TssM(data []float64, stride int, n int, mean float64) float64

func UcharAbsdev ¶

func UcharAbsdev(data []uint8, stride int, n int) float64

func UcharAbsdevM ¶

func UcharAbsdevM(data []uint8, stride int, n int, mean float64) float64

func UcharCorrelation ¶

func UcharCorrelation(data1 []uint8, stride1 int, data2 []uint8, stride2 int, n int) float64

func UcharCovariance ¶

func UcharCovariance(data1 []uint8, stride1 int, data2 []uint8, stride2 int, n int) float64

func UcharCovarianceM ¶

func UcharCovarianceM(data1 []uint8, stride1 int, data2 []uint8, stride2 int, n int, mean1 float64, mean2 float64) float64

func UcharKurtosis ¶

func UcharKurtosis(data []uint8, stride int, n int) float64

func UcharKurtosisMSd ¶

func UcharKurtosisMSd(data []uint8, stride int, n int, mean float64, sd float64) float64

func UcharLag1Autocorrelation ¶

func UcharLag1Autocorrelation(data []uint8, stride int, n int) float64

func UcharLag1AutocorrelationM ¶

func UcharLag1AutocorrelationM(data []uint8, stride int, n int, mean float64) float64

func UcharMax ¶

func UcharMax(data []uint8, stride int, n int) float64

func UcharMaxIndex ¶

func UcharMaxIndex(data []uint8, stride int, n int) int

func UcharMean ¶

func UcharMean(data []uint8, stride int, n int) float64

func UcharMedianFromSortedData ¶

func UcharMedianFromSortedData(sortedData []uint8, stride int, n int) float64

func UcharMin ¶

func UcharMin(data []uint8, stride int, n int) float64

func UcharMinIndex ¶

func UcharMinIndex(data []uint8, stride int, n int) int

func UcharMinmax ¶

func UcharMinmax(data []uint8, stride int, n int) (uint8, uint8)

func UcharMinmaxIndex ¶

func UcharMinmaxIndex(data []uint8, stride int, n int) (int, int)

func UcharQuantileFromSortedData ¶

func UcharQuantileFromSortedData(sortedData []uint8, stride int, n int, f float64) float64

func UcharSd ¶

func UcharSd(data []uint8, stride int, n int) float64

func UcharSdM ¶

func UcharSdM(data []uint8, stride int, n int, mean float64) float64

func UcharSdWithFixedMean ¶

func UcharSdWithFixedMean(data []uint8, stride int, n int, mean float64) float64

func UcharSkew ¶

func UcharSkew(data []uint8, stride int, n int) float64

func UcharSkewMSd ¶

func UcharSkewMSd(data []uint8, stride int, n int, mean float64, sd float64) float64

func UcharSpearman ¶

func UcharSpearman(data1 []uint8, stride1 int, data2 []uint8, stride2 int, n int, work []float64) float64

func UcharTss ¶

func UcharTss(data []uint8, stride int, n int) float64

func UcharTssM ¶

func UcharTssM(data []uint8, stride int, n int, mean float64) float64

func UcharVariance ¶

func UcharVariance(data []uint8, stride int, n int) float64

func UcharVarianceM ¶

func UcharVarianceM(data []uint8, stride int, n int, mean float64) float64

func UcharVarianceWithFixedMean ¶

func UcharVarianceWithFixedMean(data []uint8, stride int, n int, mean float64) float64

func UintAbsdev ¶

func UintAbsdev(data []uint32, stride int, n int) float64

func UintAbsdevM ¶

func UintAbsdevM(data []uint32, stride int, n int, mean float64) float64

func UintCorrelation ¶

func UintCorrelation(data1 []uint32, stride1 int, data2 []uint32, stride2 int, n int) float64

func UintCovariance ¶

func UintCovariance(data1 []uint32, stride1 int, data2 []uint32, stride2 int, n int) float64

func UintCovarianceM ¶

func UintCovarianceM(data1 []uint32, stride1 int, data2 []uint32, stride2 int, n int, mean1 float64, mean2 float64) float64

func UintKurtosis ¶

func UintKurtosis(data []uint32, stride int, n int) float64

func UintKurtosisMSd ¶

func UintKurtosisMSd(data []uint32, stride int, n int, mean float64, sd float64) float64

func UintLag1Autocorrelation ¶

func UintLag1Autocorrelation(data []uint32, stride int, n int) float64

func UintLag1AutocorrelationM ¶

func UintLag1AutocorrelationM(data []uint32, stride int, n int, mean float64) float64

func UintMax ¶

func UintMax(data []uint32, stride int, n int) float64

func UintMaxIndex ¶

func UintMaxIndex(data []uint32, stride int, n int) int

func UintMean ¶

func UintMean(data []uint32, stride int, n int) float64

func UintMedianFromSortedData ¶

func UintMedianFromSortedData(sortedData []uint32, stride int, n int) float64

func UintMin ¶

func UintMin(data []uint32, stride int, n int) float64

func UintMinIndex ¶

func UintMinIndex(data []uint32, stride int, n int) int

func UintMinmax ¶

func UintMinmax(data []uint32, stride int, n int) (uint32, uint32)

func UintMinmaxIndex ¶

func UintMinmaxIndex(data []uint32, stride int, n int) (int, int)

func UintQuantileFromSortedData ¶

func UintQuantileFromSortedData(sortedData []uint32, stride int, n int, f float64) float64

func UintSd ¶

func UintSd(data []uint32, stride int, n int) float64

func UintSdM ¶

func UintSdM(data []uint32, stride int, n int, mean float64) float64

func UintSdWithFixedMean ¶

func UintSdWithFixedMean(data []uint32, stride int, n int, mean float64) float64

func UintSkew ¶

func UintSkew(data []uint32, stride int, n int) float64

func UintSkewMSd ¶

func UintSkewMSd(data []uint32, stride int, n int, mean float64, sd float64) float64

func UintSpearman ¶

func UintSpearman(data1 []uint32, stride1 int, data2 []uint32, stride2 int, n int, work []float64) float64

func UintTss ¶

func UintTss(data []uint32, stride int, n int) float64

func UintTssM ¶

func UintTssM(data []uint32, stride int, n int, mean float64) float64

func UintVariance ¶

func UintVariance(data []uint32, stride int, n int) float64

func UintVarianceM ¶

func UintVarianceM(data []uint32, stride int, n int, mean float64) float64

func UintVarianceWithFixedMean ¶

func UintVarianceWithFixedMean(data []uint32, stride int, n int, mean float64) float64

func UlongAbsdev ¶

func UlongAbsdev(data []int, stride int, n int) float64

func UlongAbsdevM ¶

func UlongAbsdevM(data []int, stride int, n int, mean float64) float64

func UlongCorrelation ¶

func UlongCorrelation(data1 []int, stride1 int, data2 []int, stride2 int, n int) float64

func UlongCovariance ¶

func UlongCovariance(data1 []int, stride1 int, data2 []int, stride2 int, n int) float64

func UlongCovarianceM ¶

func UlongCovarianceM(data1 []int, stride1 int, data2 []int, stride2 int, n int, mean1 float64, mean2 float64) float64

func UlongKurtosis ¶

func UlongKurtosis(data []int, stride int, n int) float64

func UlongKurtosisMSd ¶

func UlongKurtosisMSd(data []int, stride int, n int, mean float64, sd float64) float64

func UlongLag1Autocorrelation ¶

func UlongLag1Autocorrelation(data []int, stride int, n int) float64

func UlongLag1AutocorrelationM ¶

func UlongLag1AutocorrelationM(data []int, stride int, n int, mean float64) float64

func UlongMax ¶

func UlongMax(data []int, stride int, n int) float64

func UlongMaxIndex ¶

func UlongMaxIndex(data []int, stride int, n int) int

func UlongMean ¶

func UlongMean(data []int, stride int, n int) float64

func UlongMedianFromSortedData ¶

func UlongMedianFromSortedData(sortedData []int, stride int, n int) float64

func UlongMin ¶

func UlongMin(data []int, stride int, n int) float64

func UlongMinIndex ¶

func UlongMinIndex(data []int, stride int, n int) int

func UlongMinmax ¶

func UlongMinmax(data []int, stride int, n int) (int, int)

func UlongMinmaxIndex ¶

func UlongMinmaxIndex(data []int, stride int, n int) (int, int)

func UlongQuantileFromSortedData ¶

func UlongQuantileFromSortedData(sortedData []int, stride int, n int, f float64) float64

func UlongSd ¶

func UlongSd(data []int, stride int, n int) float64

func UlongSdM ¶

func UlongSdM(data []int, stride int, n int, mean float64) float64

func UlongSdWithFixedMean ¶

func UlongSdWithFixedMean(data []int, stride int, n int, mean float64) float64

func UlongSkew ¶

func UlongSkew(data []int, stride int, n int) float64

func UlongSkewMSd ¶

func UlongSkewMSd(data []int, stride int, n int, mean float64, sd float64) float64

func UlongSpearman ¶

func UlongSpearman(data1 []int, stride1 int, data2 []int, stride2 int, n int, work []float64) float64

func UlongTss ¶

func UlongTss(data []int, stride int, n int) float64

func UlongTssM ¶

func UlongTssM(data []int, stride int, n int, mean float64) float64

func UlongVariance ¶

func UlongVariance(data []int, stride int, n int) float64

func UlongVarianceM ¶

func UlongVarianceM(data []int, stride int, n int, mean float64) float64

func UlongVarianceWithFixedMean ¶

func UlongVarianceWithFixedMean(data []int, stride int, n int, mean float64) float64

func UshortAbsdev ¶

func UshortAbsdev(data []int16, stride int, n int) float64

func UshortAbsdevM ¶

func UshortAbsdevM(data []int16, stride int, n int, mean float64) float64

func UshortCorrelation ¶

func UshortCorrelation(data1 []int16, stride1 int, data2 []int16, stride2 int, n int) float64

func UshortCovariance ¶

func UshortCovariance(data1 []int16, stride1 int, data2 []int16, stride2 int, n int) float64

func UshortCovarianceM ¶

func UshortCovarianceM(data1 []int16, stride1 int, data2 []int16, stride2 int, n int, mean1 float64, mean2 float64) float64

func UshortKurtosis ¶

func UshortKurtosis(data []int16, stride int, n int) float64

func UshortKurtosisMSd ¶

func UshortKurtosisMSd(data []int16, stride int, n int, mean float64, sd float64) float64

func UshortLag1Autocorrelation ¶

func UshortLag1Autocorrelation(data []int16, stride int, n int) float64

func UshortLag1AutocorrelationM ¶

func UshortLag1AutocorrelationM(data []int16, stride int, n int, mean float64) float64

func UshortMax ¶

func UshortMax(data []int16, stride int, n int) float64

func UshortMaxIndex ¶

func UshortMaxIndex(data []int16, stride int, n int) int

func UshortMean ¶

func UshortMean(data []int16, stride int, n int) float64

func UshortMedianFromSortedData ¶

func UshortMedianFromSortedData(sortedData []int16, stride int, n int) float64

func UshortMin ¶

func UshortMin(data []int16, stride int, n int) float64

func UshortMinIndex ¶

func UshortMinIndex(data []int16, stride int, n int) int

func UshortMinmax ¶

func UshortMinmax(data []int16, stride int, n int) (int16, int16)

func UshortMinmaxIndex ¶

func UshortMinmaxIndex(data []int16, stride int, n int) (int, int)

func UshortQuantileFromSortedData ¶

func UshortQuantileFromSortedData(sortedData []int16, stride int, n int, f float64) float64

func UshortSd ¶

func UshortSd(data []int16, stride int, n int) float64

func UshortSdM ¶

func UshortSdM(data []int16, stride int, n int, mean float64) float64

func UshortSdWithFixedMean ¶

func UshortSdWithFixedMean(data []int16, stride int, n int, mean float64) float64

func UshortSkew ¶

func UshortSkew(data []int16, stride int, n int) float64

func UshortSkewMSd ¶

func UshortSkewMSd(data []int16, stride int, n int, mean float64, sd float64) float64

func UshortSpearman ¶

func UshortSpearman(data1 []int16, stride1 int, data2 []int16, stride2 int, n int, work []float64) float64

func UshortTss ¶

func UshortTss(data []int16, stride int, n int) float64

func UshortTssM ¶

func UshortTssM(data []int16, stride int, n int, mean float64) float64

func UshortVariance ¶

func UshortVariance(data []int16, stride int, n int) float64

func UshortVarianceM ¶

func UshortVarianceM(data []int16, stride int, n int, mean float64) float64

func UshortVarianceWithFixedMean ¶

func UshortVarianceWithFixedMean(data []int16, stride int, n int, mean float64) float64

func Variance ¶

func Variance(data []float64, stride int, n int) float64

func VarianceM ¶

func VarianceM(data []float64, stride int, n int, mean float64) float64

func VarianceWithFixedMean ¶

func VarianceWithFixedMean(data []float64, stride int, n int, mean float64) float64

func Wabsdev ¶

func Wabsdev(w []float64, wstride int, data []float64, stride int, n int) float64

func WabsdevM ¶

func WabsdevM(w []float64, wstride int, data []float64, stride int, n int, wmean float64) float64

func Wkurtosis ¶

func Wkurtosis(w []float64, wstride int, data []float64, stride int, n int) float64

func WkurtosisMSd ¶

func WkurtosisMSd(w []float64, wstride int, data []float64, stride int, n int, wmean float64, wsd float64) float64

func Wmean ¶

func Wmean(w []float64, wstride int, data []float64, stride int, n int) float64

func Wsd ¶

func Wsd(w []float64, wstride int, data []float64, stride int, n int) float64

func WsdM ¶

func WsdM(w []float64, wstride int, data []float64, stride int, n int, wmean float64) float64

func WsdWithFixedMean ¶

func WsdWithFixedMean(w []float64, wstride int, data []float64, stride int, n int, mean float64) float64

func Wskew ¶

func Wskew(w []float64, wstride int, data []float64, stride int, n int) float64

func WskewMSd ¶

func WskewMSd(w []float64, wstride int, data []float64, stride int, n int, wmean float64, wsd float64) float64

func Wtss ¶

func Wtss(w []float64, wstride int, data []float64, stride int, n int) float64

func WtssM ¶

func WtssM(w []float64, wstride int, data []float64, stride int, n int, wmean float64) float64

func Wvariance ¶

func Wvariance(w []float64, wstride int, data []float64, stride int, n int) float64

func WvarianceM ¶

func WvarianceM(w []float64, wstride int, data []float64, stride int, n int, wmean float64) float64

func WvarianceWithFixedMean ¶

func WvarianceWithFixedMean(w []float64, wstride int, data []float64, stride int, n int, mean float64) float64

Types ¶

This section is empty.

Source Files ¶

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stats.go

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