stats

package module

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Versions in this module

v0

v0.14.0

Oct 25, 2026

Changes in this version

+ var ErrTooFew = tooFewError

v0.13.0

Oct 6, 2026

v0.12.7

Sep 19, 2026

v0.12.6

Sep 9, 2026

v0.12.5

Aug 28, 2026

v0.12.4

Aug 17, 2026

v0.12.3

Aug 10, 2026

v0.12.2

Jul 17, 2026

v0.12.1

Jul 16, 2026

v0.12.0

Jul 16, 2026

v0.11.0

Jul 13, 2026

Changes in this version

+ func Clip(input Float64Data, min, max float64) ([]float64, error)

+ func EWMA(input Float64Data, alpha float64) ([]float64, error)

+ func Histogram(input Float64Data, bins int) ([]int, []float64, error)

+ func Interp(x, xp, fp Float64Data) ([]float64, error)

+ func KendallTau(data1, data2 Float64Data) (float64, error)

+ func Kurtosis(input Float64Data) (float64, error)

+ func MovingMax(input Float64Data, window int) ([]float64, error)

+ func MovingMedian(input Float64Data, window int) ([]float64, error)

+ func MovingMin(input Float64Data, window int) ([]float64, error)

+ func MovingSum(input Float64Data, window int) ([]float64, error)

+ func PercentileOfScore(input Float64Data, score float64) (float64, error)

+ func PopulationKurtosis(input Float64Data) (float64, error)

+ func Product(input Float64Data) (float64, error)

+ func RMS(input Float64Data) (float64, error)

+ func Rescale(input Float64Data) ([]float64, error)

+ func SEM(input Float64Data) (float64, error)

+ func SampleKurtosis(input Float64Data) (float64, error)

+ func TrimmedMean(input Float64Data, percent float64) (float64, error)

+ func Winsorize(input Float64Data, percent float64) ([]float64, error)

type Float64Data

+ func (f Float64Data) Clip(min, max float64) ([]float64, error)

+ func (f Float64Data) EWMA(alpha float64) ([]float64, error)

+ func (f Float64Data) Histogram(bins int) ([]int, []float64, error)

+ func (f Float64Data) KendallTau(d Float64Data) (float64, error)

+ func (f Float64Data) Kurtosis() (float64, error)

+ func (f Float64Data) MovingMax(window int) ([]float64, error)

+ func (f Float64Data) MovingMedian(window int) ([]float64, error)

+ func (f Float64Data) MovingMin(window int) ([]float64, error)

+ func (f Float64Data) MovingSum(window int) ([]float64, error)

+ func (f Float64Data) PercentileOfScore(score float64) (float64, error)

+ func (f Float64Data) PopulationKurtosis() (float64, error)

+ func (f Float64Data) Product() (float64, error)

+ func (f Float64Data) RMS() (float64, error)

+ func (f Float64Data) Rescale() ([]float64, error)

+ func (f Float64Data) SEM() (float64, error)

+ func (f Float64Data) SampleKurtosis() (float64, error)

+ func (f Float64Data) TrimmedMean(percent float64) (float64, error)

+ func (f Float64Data) Winsorize(percent float64) ([]float64, error)

v0.10.0

Jul 10, 2026

Changes in this version

+ func ArgMax(input Float64Data) (int, error)

+ func ArgMin(input Float64Data) (int, error)

+ func CoefficientOfVariation(input Float64Data) (float64, error)

+ func CumulativeMax(input Float64Data) ([]float64, error)

+ func CumulativeMin(input Float64Data) ([]float64, error)

+ func CumulativeProduct(input Float64Data) ([]float64, error)

+ func Diff(input Float64Data) ([]float64, error)

+ func MovingAverage(input Float64Data, window int) ([]float64, error)

+ func MovingStdDev(input Float64Data, window int) ([]float64, error)

+ func NormSample(loc float64, scale float64, size int) []float64

+ func PercentChange(input Float64Data) ([]float64, error)

+ func PercentileWeighted(data, weights Float64Data, percent float64) (percentile float64, err error)

+ func Range(input Float64Data) (float64, error)

+ func Rank(input Float64Data) ([]float64, error)

+ func Spearman(data1, data2 Float64Data) (float64, error)

+ func TTest(data1, data2 Float64Data, populationMean float64) (t float64, pvalue float64, err error)

+ func WeightedMean(data, weights Float64Data) (float64, error)

+ func ZScore(input Float64Data) ([]float64, error)

+ func ZTest(data1, data2 Float64Data, populationMean, populationStdDev float64) (z float64, pvalue float64, err error)

type Description

+ Range float64

type Float64Data

+ func (f Float64Data) ArgMax() (int, error)

+ func (f Float64Data) ArgMin() (int, error)

+ func (f Float64Data) CoefficientOfVariation() (float64, error)

+ func (f Float64Data) CumulativeMax() ([]float64, error)

+ func (f Float64Data) CumulativeMin() ([]float64, error)

+ func (f Float64Data) CumulativeProduct() ([]float64, error)

+ func (f Float64Data) Diff() ([]float64, error)

+ func (f Float64Data) MovingAverage(window int) ([]float64, error)

+ func (f Float64Data) MovingStdDev(window int) ([]float64, error)

+ func (f Float64Data) PercentChange() ([]float64, error)

+ func (f Float64Data) Range() (float64, error)

+ func (f Float64Data) Rank() ([]float64, error)

+ func (f Float64Data) Spearman(d Float64Data) (float64, error)

+ func (f Float64Data) WeightedMean(weights Float64Data) (float64, error)

+ func (f Float64Data) ZScore() ([]float64, error)

v0.9.0

Mar 24, 2026

Changes in this version

+ func PopulationSkewness(input Float64Data) (float64, error)

+ func SampleSkewness(input Float64Data) (float64, error)

+ func Skewness(input Float64Data) (float64, error)

v0.8.2

Mar 11, 2026

v0.8.1

Mar 11, 2026

v0.8.0

Mar 11, 2026

v0.7.1

May 11, 2023

Changes in this version

+ type Description struct

+ AllowedNaN bool

+ Count int

+ DescriptionPercentiles []descriptionPercentile

+ Max float64

+ Mean float64

+ Min float64

+ Std float64

+ func Describe(input Float64Data, allowNaN bool, percentiles *[]float64) (*Description, error)

+ func DescribePercentileFunc(input Float64Data, allowNaN bool, percentiles *[]float64, ...) (*Description, error)

+ func (d *Description) String(decimals int) string

v0.7.0

Jan 8, 2023

Changes in this version

+ func ExpGeom(p float64) (exp float64, err error)

+ func ProbGeom(a int, b int, p float64) (prob float64, err error)

+ func VarGeom(p float64) (exp float64, err error)

v0.6.6

Apr 26, 2021

v0.6.5

Feb 21, 2021

Changes in this version

type Float64Data

+ func (f Float64Data) Quartiles() (Quartiles, error)

v0.6.4

Jan 13, 2021

v0.6.3

Feb 18, 2020

v0.6.2

Feb 18, 2020

v0.6.1

Feb 18, 2020

v0.6.0

Feb 17, 2020

Changes in this version

+ var ErrBounds = statsError

+ var ErrEmptyInput = statsError

+ var ErrInfValue = statsError

+ var ErrNaN = statsError

+ var ErrNegative = statsError

+ var ErrSize = statsError

+ var ErrYCoord = statsError

+ var ErrZero = statsError

+ func Entropy(input Float64Data) (float64, error)

+ func Ncr(n, r int) int

+ func NormBoxMullerRvs(loc float64, scale float64, size int) []float64

+ func NormCdf(x float64, loc float64, scale float64) float64

+ func NormEntropy(loc float64, scale float64) float64

+ func NormFit(data []float64) [2]float64

+ func NormInterval(alpha float64, loc float64, scale float64) [2]float64

+ func NormIsf(p float64, loc float64, scale float64) (x float64)

+ func NormLogCdf(x float64, loc float64, scale float64) float64

+ func NormLogPdf(x float64, loc float64, scale float64) float64

+ func NormLogSf(x float64, loc float64, scale float64) float64

+ func NormMean(loc float64, scale float64) float64

+ func NormMedian(loc float64, scale float64) float64

+ func NormMoment(n int, loc float64, scale float64) float64

+ func NormPdf(x float64, loc float64, scale float64) float64

+ func NormPpf(p float64, loc float64, scale float64) (x float64)

+ func NormPpfRvs(loc float64, scale float64, size int) []float64

+ func NormSf(x float64, loc float64, scale float64) float64

+ func NormStats(loc float64, scale float64, moments string) []float64

+ func NormStd(loc float64, scale float64) float64

+ func NormVar(loc float64, scale float64) float64

+ func StableSample(input Float64Data, takenum int) ([]float64, error)

type Float64Data

+ func (f Float64Data) Entropy() (float64, error)

+ func (f Float64Data) Sigmoid() ([]float64, error)

+ func (f Float64Data) SoftMax() ([]float64, error)

v0.5.0

Jan 16, 2019

Changes in this version

+ func Sigmoid(input Float64Data) ([]float64, error)

+ func SoftMax(input Float64Data) ([]float64, error)

v0.4.0

Jan 14, 2019

Changes in this version

+ var BoundsErr = statsErr

+ var EmptyInput = EmptyInputErr

+ var EmptyInputErr = statsErr

+ var InfValue = statsErr

+ var NaNErr = statsErr

+ var NegativeErr = statsErr

+ var SizeErr = statsErr

+ var YCoordErr = statsErr

+ var ZeroErr = statsErr

+ func AutoCorrelation(data Float64Data, lags int) (float64, error)

+ func ChebyshevDistance(dataPointX, dataPointY []float64) (distance float64, err error)

+ func Correlation(data1, data2 Float64Data) (float64, error)

+ func Covariance(data1, data2 Float64Data) (float64, error)

+ func CovariancePopulation(data1, data2 Float64Data) (float64, error)

+ func CumulativeSum(input Float64Data) ([]float64, error)

+ func EuclideanDistance(dataPointX, dataPointY []float64) (distance float64, err error)

+ func GeometricMean(input Float64Data) (float64, error)

+ func HarmonicMean(input Float64Data) (float64, error)

+ func InterQuartileRange(input Float64Data) (float64, error)

+ func ManhattanDistance(dataPointX, dataPointY []float64) (distance float64, err error)

+ func Max(input Float64Data) (max float64, err error)

+ func Mean(input Float64Data) (float64, error)

+ func Median(input Float64Data) (median float64, err error)

+ func MedianAbsoluteDeviation(input Float64Data) (mad float64, err error)

+ func MedianAbsoluteDeviationPopulation(input Float64Data) (mad float64, err error)

+ func Midhinge(input Float64Data) (float64, error)

+ func Min(input Float64Data) (min float64, err error)

+ func MinkowskiDistance(dataPointX, dataPointY []float64, lambda float64) (distance float64, err error)

+ func Mode(input Float64Data) (mode []float64, err error)

+ func Pearson(data1, data2 Float64Data) (float64, error)

+ func Percentile(input Float64Data, percent float64) (percentile float64, err error)

+ func PercentileNearestRank(input Float64Data, percent float64) (percentile float64, err error)

+ func PopulationVariance(input Float64Data) (pvar float64, err error)

+ func Round(input float64, places int) (rounded float64, err error)

+ func Sample(input Float64Data, takenum int, replacement bool) ([]float64, error)

+ func SampleVariance(input Float64Data) (svar float64, err error)

+ func StandardDeviation(input Float64Data) (sdev float64, err error)

+ func StandardDeviationPopulation(input Float64Data) (sdev float64, err error)

+ func StandardDeviationSample(input Float64Data) (sdev float64, err error)

+ func StdDevP(input Float64Data) (sdev float64, err error)

+ func StdDevS(input Float64Data) (sdev float64, err error)

+ func Sum(input Float64Data) (sum float64, err error)

+ func Trimean(input Float64Data) (float64, error)

+ func VarP(input Float64Data) (sdev float64, err error)

+ func VarS(input Float64Data) (sdev float64, err error)

+ func Variance(input Float64Data) (sdev float64, err error)

+ type Coordinate struct

+ X float64

+ Y float64

+ func ExpReg(s []Coordinate) (regressions []Coordinate, err error)

+ func LinReg(s []Coordinate) (regressions []Coordinate, err error)

+ func LogReg(s []Coordinate) (regressions []Coordinate, err error)

+ type Float64Data []float64

+ func LoadRawData(raw interface{}) (f Float64Data)

+ func (f Float64Data) AutoCorrelation(lags int) (float64, error)

+ func (f Float64Data) Correlation(d Float64Data) (float64, error)

+ func (f Float64Data) Covariance(d Float64Data) (float64, error)

+ func (f Float64Data) CovariancePopulation(d Float64Data) (float64, error)

+ func (f Float64Data) CumulativeSum() ([]float64, error)

+ func (f Float64Data) GeometricMean() (float64, error)

+ func (f Float64Data) Get(i int) float64

+ func (f Float64Data) HarmonicMean() (float64, error)

+ func (f Float64Data) InterQuartileRange() (float64, error)

+ func (f Float64Data) Len() int

+ func (f Float64Data) Less(i, j int) bool

+ func (f Float64Data) Max() (float64, error)

+ func (f Float64Data) Mean() (float64, error)

+ func (f Float64Data) Median() (float64, error)

+ func (f Float64Data) MedianAbsoluteDeviation() (float64, error)

+ func (f Float64Data) MedianAbsoluteDeviationPopulation() (float64, error)

+ func (f Float64Data) Midhinge(d Float64Data) (float64, error)

+ func (f Float64Data) Min() (float64, error)

+ func (f Float64Data) Mode() ([]float64, error)

+ func (f Float64Data) Pearson(d Float64Data) (float64, error)

+ func (f Float64Data) Percentile(p float64) (float64, error)

+ func (f Float64Data) PercentileNearestRank(p float64) (float64, error)

+ func (f Float64Data) PopulationVariance() (float64, error)

+ func (f Float64Data) Quartile(d Float64Data) (Quartiles, error)

+ func (f Float64Data) QuartileOutliers() (Outliers, error)

+ func (f Float64Data) Sample(n int, r bool) ([]float64, error)

+ func (f Float64Data) SampleVariance() (float64, error)

+ func (f Float64Data) StandardDeviation() (float64, error)

+ func (f Float64Data) StandardDeviationPopulation() (float64, error)

+ func (f Float64Data) StandardDeviationSample() (float64, error)

+ func (f Float64Data) Sum() (float64, error)

+ func (f Float64Data) Swap(i, j int)

+ func (f Float64Data) Trimean(d Float64Data) (float64, error)

+ func (f Float64Data) Variance() (float64, error)

+ type Outliers struct

+ Extreme Float64Data

+ Mild Float64Data

+ func QuartileOutliers(input Float64Data) (Outliers, error)

+ type Quartiles struct

+ Q1 float64

+ Q2 float64

+ Q3 float64

+ func Quartile(input Float64Data) (Quartiles, error)

+ type Series []Coordinate

+ func ExponentialRegression(s Series) (regressions Series, err error)

+ func LinearRegression(s Series) (regressions Series, err error)

+ func LogarithmicRegression(s Series) (regressions Series, err error)

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