stats

package module

Go to main page

Versions in this module

v0

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)

?	: This menu
/	: Search site
f or F	: Jump to
y or Y	: Canonical URL