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Description

A statistics package with many functions missing from the Golang standard library. See the CHANGELOG.md for API changes and tagged releases you can vendor into your projects.

Programming language: Go

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README

Stats

A well tested and comprehensive Golang statistics library package with no dependencies.

If you have any suggestions, problems or bug reports please create an issue and I'll do my best to accommodate you. In addition simply starring the repo would show your support for the project and be very much appreciated!

Installation

go get github.com/montanaflynn/stats

Example Usage

All the functions can be seen in [examples/main.go](examples/main.go) but here's a little taste:

// start with some source data to use
data := []float64{1.0, 2.1, 3.2, 4.823, 4.1, 5.8}

// you could also use different types like this
// data := stats.LoadRawData([]int{1, 2, 3, 4, 5})
// data := stats.LoadRawData([]interface{}{1.1, "2", 3})
// etc...

median, _ := stats.Median(data)
fmt.Println(median) // 3.65

roundedMedian, _ := stats.Round(median, 0)
fmt.Println(roundedMedian) // 4

Documentation

The entire API documentation is available on GoDoc.org

You can view docs offline with the following commands:

# Command line
godoc .              # show all exported apis
godoc . Median       # show a single function
godoc -ex . Round    # show function with example
godoc . Float64Data  # show the type and methods

# Local website
godoc -http=:4444    # start the godoc server on port 4444
open http://localhost:4444/pkg/github.com/montanaflynn/stats/

The exported API is as follows:

var (
    ErrEmptyInput = statsError{"Input must not be empty."}
    ErrNaN        = statsError{"Not a number."}
    ErrNegative   = statsError{"Must not contain negative values."}
    ErrZero       = statsError{"Must not contain zero values."}
    ErrBounds     = statsError{"Input is outside of range."}
    ErrSize       = statsError{"Must be the same length."}
    ErrInfValue   = statsError{"Value is infinite."}
    ErrYCoord     = statsError{"Y Value must be greater than zero."}
)

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

type Float64Data []float64

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

func AutoCorrelation(data Float64Data, lags int) (float64, error) {}
func ChebyshevDistance(dataPointX, dataPointY Float64Data) (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 Entropy(input Float64Data) (float64, error) {}
func EuclideanDistance(dataPointX, dataPointY Float64Data) (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 Float64Data) (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 Float64Data, 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 Sample(input Float64Data, takenum int, replacement bool) ([]float64, error) {}
func SampleVariance(input Float64Data) (svar float64, err error) {}
func Sigmoid(input Float64Data) ([]float64, error) {}
func SoftMax(input Float64Data) ([]float64, 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, Y float64
}

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) {}

type Outliers struct {
    Mild    Float64Data
    Extreme Float64Data
}

type Quartiles struct {
    Q1 float64
    Q2 float64
    Q3 float64
}

func Quartile(input Float64Data) (Quartiles, error) {}
func QuartileOutliers(input Float64Data) (Outliers, error) {}

Contributing

Pull request are always welcome no matter how big or small. I've included a Makefile that has a lot of helper targets for common actions such as linting, testing, code coverage reporting and more.

  1. Fork the repo and clone your fork
  2. Create new branch (git checkout -b some-thing)
  3. Make the desired changes
  4. Ensure tests pass (go test -cover or make test)
  5. Commit changes (git commit -am 'Did something')
  6. Push branch (git push origin some-thing)
  7. Submit pull request

To make things as seamless as possible please also consider the following steps:

  • Update examples/main.go with a simple example of the new feature
  • Update README.md documentation section with any new exported API
  • Keep 100% code coverage (you can check with make coverage)
  • Squash commits into single units of work with git rebase -i new-feature

MIT License

Copyright (c) 2014-2019 Montana Flynn http://anonfunction.com

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORpublicS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.


*Note that all licence references and agreements mentioned in the Stats README section above are relevant to that project's source code only.