@@ -1,6 +1,7 @@

 package networkdb

 import (

+	"iter"

 	"maps"

 	"math"

 	"math/bits"

@@ -8,7 +9,6 @@ import (

 	"strings"

 	"testing"

-	"github.com/montanaflynn/stats"

 	"gotest.tools/v3/assert"

 	is "gotest.tools/v3/assert/cmp"

 	"pgregory.net/rapid"

@@ -106,11 +106,7 @@ func TestMRandomNodes(t *testing.T) {

 			}

 			// Adding multiple samples together should yield a normal distribution

 			// if the samples are unbiased.

-			countsf := stats.LoadRawData(slices.Collect(maps.Values(counts)))

-			nf := stats.NormFit(countsf)

-			mean, stdev := nf[0], nf[1]

-			minv, _ := countsf.Min()

-			maxv, _ := countsf.Max()

+			mean, stdev, minv, maxv := distributionStats(maps.Values(counts))

 			if minv < mean-4*stdev || maxv > mean+4*stdev {

 				extremes++

 				t.Logf("Mean: %f, StdDev: %f, Min: %f, Max: %f", mean, stdev, minv, maxv)

@@ -151,3 +147,26 @@ func kpermutations(n, k uint64) uint64 {

 	}

 	return p

 }

+

+// distributionStats computes mean, population standard deviation, min, and max

+// over the values yielded by the iterator.

+func distributionStats(vals iter.Seq[int]) (mean, stdev, minv, maxv float64) {

+	var sum, sumSq float64

+	var n int

+	minv = math.MaxFloat64

+	maxv = -math.MaxFloat64

+	for v := range vals {

+		f := float64(v)

+		sum += f

+		sumSq += f * f

+		minv = min(minv, f)

+		maxv = max(maxv, f)

+		n++

+	}

+	if n == 0 {

+		return 0, 0, 0, 0

+	}

+	mean = sum / float64(n)

+	stdev = math.Sqrt(sumSq/float64(n) - mean*mean)

+	return mean, stdev, minv, maxv

+}

@@ -79,7 +79,6 @@ require (

 	github.com/moby/sys/user v0.4.0

 	github.com/moby/sys/userns v0.1.0

 	github.com/moby/term v0.5.2

-	github.com/montanaflynn/stats v0.9.0

 	github.com/opencontainers/cgroups v0.0.6

 	github.com/opencontainers/go-digest v1.0.0

 	github.com/opencontainers/image-spec v1.1.1

@@ -604,8 +604,6 @@ github.com/modern-go/concurrent v0.0.0-20180228061459-e0a39a4cb421/go.mod h1:6dJ

 github.com/modern-go/concurrent v0.0.0-20180306012644-bacd9c7ef1dd/go.mod h1:6dJC0mAP4ikYIbvyc7fijjWJddQyLn8Ig3JB5CqoB9Q=

 github.com/modern-go/reflect2 v0.0.0-20180701023420-4b7aa43c6742/go.mod h1:bx2lNnkwVCuqBIxFjflWJWanXIb3RllmbCylyMrvgv0=

 github.com/modern-go/reflect2 v1.0.1/go.mod h1:bx2lNnkwVCuqBIxFjflWJWanXIb3RllmbCylyMrvgv0=

-github.com/montanaflynn/stats v0.9.0 h1:tsBJ0RXwph9BmAuFoCmqGv6e8xa0MENQ8m0ptKq29mQ=

-github.com/montanaflynn/stats v0.9.0/go.mod h1:etXPPgVO6n31NxCd9KQUMvCM+ve0ruNzt6R8Bnaayow=

 github.com/morikuni/aec v1.1.0 h1:vBBl0pUnvi/Je71dsRrhMBtreIqNMYErSAbEeb8jrXQ=

 github.com/morikuni/aec v1.1.0/go.mod h1:xDRgiq/iw5l+zkao76YTKzKttOp2cwPEne25HDkJnBw=

 github.com/mreiferson/go-httpclient v0.0.0-20160630210159-31f0106b4474/go.mod h1:OQA4XLvDbMgS8P0CevmM4m9Q3Jq4phKUzcocxuGJ5m8=

deleted file mode 100644

@@ -1 +0,0 @@

-test

\ No newline at end of file

deleted file mode 100644

@@ -1,7 +0,0 @@

-coverage.out

-coverage.txt

-release-notes.txt

-.directory

-.chglog

-.vscode

-.DS_Store

\ No newline at end of file

deleted file mode 100644

@@ -1,14 +0,0 @@

-version: 2

-

-builds:

-  - skip: true

-

-changelog:

-  sort: asc

-  groups:

-    - title: Fix

-      regexp: '^fix:'

-    - title: Features

-      regexp: '^feat:'

-    - title: Other

-      order: 999

deleted file mode 100644

@@ -1,545 +0,0 @@

-<a name="unreleased"></a>

-## [Unreleased]

-

-

-<a name="v0.8.0"></a>

-## [v0.8.0] - 2026-03-11

-### Fix

-- Fix Percentile to use standard NIST linear interpolation method ([#92](https://github.com/montanaflynn/stats/issues/92))

-- Fix Percentile underflow bug ([#88](https://github.com/montanaflynn/stats/issues/88))

-

-### Update

-- Update Codecov upload to v4 and pass token

-

-

-<a name="v0.7.1"></a>

-## [v0.7.1] - 2023-05-11

-### Add

-- Add describe functions ([#77](https://github.com/montanaflynn/stats/issues/77))

-

-### Update

-- Update .gitignore

-- Update README.md, LICENSE and DOCUMENTATION.md files

-- Update github action go workflow to run on push

-

-

-<a name="v0.7.0"></a>

-## [v0.7.0] - 2023-01-08

-### Add

-- Add geometric distribution functions ([#75](https://github.com/montanaflynn/stats/issues/75))

-- Add GitHub action go workflow

-

-### Remove

-- Remove travis CI config

-

-### Update

-- Update changelog with v0.7.0 changes

-- Update changelog with v0.7.0 changes

-- Update github action go workflow

-- Update geometric distribution tests

-

-

-<a name="v0.6.6"></a>

-## [v0.6.6] - 2021-04-26

-### Add

-- Add support for string and io.Reader in LoadRawData (pr [#68](https://github.com/montanaflynn/stats/issues/68))

-- Add latest versions of Go to test against

-

-### Update

-- Update changelog with v0.6.6 changes

-

-### Use

-- Use math.Sqrt in StandardDeviation (PR [#64](https://github.com/montanaflynn/stats/issues/64))

-

-

-<a name="v0.6.5"></a>

-## [v0.6.5] - 2021-02-21

-### Add

-- Add Float64Data.Quartiles documentation

-- Add Quartiles method to Float64Data type (issue [#60](https://github.com/montanaflynn/stats/issues/60))

-

-### Fix

-- Fix make release changelog command and add changelog history

-

-### Update

-- Update changelog with v0.6.5 changes

-- Update changelog with v0.6.4 changes

-- Update README.md links to CHANGELOG.md and DOCUMENTATION.md

-- Update README.md and Makefile with new release commands

-

-

-<a name="v0.6.4"></a>

-## [v0.6.4] - 2021-01-13

-### Fix

-- Fix failing tests due to precision errors on arm64 ([#58](https://github.com/montanaflynn/stats/issues/58))

-

-### Update

-- Update changelog with v0.6.4 changes

-- Update examples directory to include a README.md used for synopsis

-- Update go.mod to include go version where modules are enabled by default

-- Update changelog with v0.6.3 changes

-

-

-<a name="v0.6.3"></a>

-## [v0.6.3] - 2020-02-18

-### Add

-- Add creating and committing changelog to Makefile release directive

-- Add release-notes.txt and .chglog directory to .gitignore

-

-### Update

-- Update exported tests to use import for better example documentation

-- Update documentation using godoc2md

-- Update changelog with v0.6.2 release

-

-

-<a name="v0.6.2"></a>

-## [v0.6.2] - 2020-02-18

-### Fix

-- Fix linting errcheck warnings in go benchmarks

-

-### Update

-- Update Makefile release directive to use correct release name

-

-

-<a name="v0.6.1"></a>

-## [v0.6.1] - 2020-02-18

-### Add

-- Add StableSample function signature to readme

-

-### Fix

-- Fix linting warnings for normal distribution functions formatting and tests

-

-### Update

-- Update documentation links and rename DOC.md to DOCUMENTATION.md

-- Update README with link to pkg.go.dev reference and release section

-- Update Makefile with new changelog, docs, and release directives

-- Update DOC.md links to GitHub source code

-- Update doc.go comment and add DOC.md package reference file

-- Update changelog using git-chglog

-

-

-<a name="v0.6.0"></a>

-## [v0.6.0] - 2020-02-17

-### Add

-- Add Normal Distribution Functions ([#56](https://github.com/montanaflynn/stats/issues/56))

-- Add previous versions of Go to travis CI config

-- Add check for distinct values in Mode function ([#51](https://github.com/montanaflynn/stats/issues/51))

-- Add StableSample function ([#48](https://github.com/montanaflynn/stats/issues/48))

-- Add doc.go file to show description and usage on godoc.org

-- Add comments to new error and legacy error variables

-- Add ExampleRound function to tests

-- Add go.mod file for module support

-- Add Sigmoid, SoftMax and Entropy methods and tests

-- Add Entropy documentation, example and benchmarks

-- Add Entropy function ([#44](https://github.com/montanaflynn/stats/issues/44))

-

-### Fix

-- Fix percentile when only one element ([#47](https://github.com/montanaflynn/stats/issues/47))

-- Fix AutoCorrelation name in comments and remove unneeded Sprintf

-

-### Improve

-- Improve documentation section with command comments

-

-### Remove

-- Remove very old versions of Go in travis CI config

-- Remove boolean comparison to get rid of gometalinter warning

-

-### Update

-- Update license dates

-- Update Distance functions signatures to use Float64Data

-- Update Sigmoid examples

-- Update error names with backward compatibility

-

-### Use

-- Use relative link to examples/main.go

-- Use a single var block for exported errors

-

-

-<a name="v0.5.0"></a>

-## [v0.5.0] - 2019-01-16

-### Add

-- Add Sigmoid and Softmax functions

-

-### Fix

-- Fix syntax highlighting and add CumulativeSum func

-

-

-<a name="v0.4.0"></a>

-## [v0.4.0] - 2019-01-14

-### Add

-- Add goreport badge and documentation section to README.md

-- Add Examples to test files

-- Add AutoCorrelation and nist tests

-- Add String method to statsErr type

-- Add Y coordinate error for ExponentialRegression

-- Add syntax highlighting ([#43](https://github.com/montanaflynn/stats/issues/43))

-- Add CumulativeSum ([#40](https://github.com/montanaflynn/stats/issues/40))

-- Add more tests and rename distance files

-- Add coverage and benchmarks to azure pipeline

-- Add go tests to azure pipeline

-

-### Change

-- Change travis tip alias to master

-- Change codecov to coveralls for code coverage

-

-### Fix

-- Fix a few lint warnings

-- Fix example error

-

-### Improve

-- Improve test coverage of distance functions

-

-### Only

-- Only run travis on stable and tip versions

-- Only check code coverage on tip

-

-### Remove

-- Remove azure CI pipeline

-- Remove unnecessary type conversions

-

-### Return

-- Return EmptyInputErr instead of EmptyInput

-

-### Set

-- Set up CI with Azure Pipelines

-

-

-<a name="0.3.0"></a>

-## [0.3.0] - 2017-12-02

-### Add

-- Add Chebyshev, Manhattan, Euclidean and Minkowski distance functions ([#35](https://github.com/montanaflynn/stats/issues/35))

-- Add function for computing chebyshev distance. ([#34](https://github.com/montanaflynn/stats/issues/34))

-- Add support for time.Duration

-- Add LoadRawData to docs and examples

-- Add unit test for edge case that wasn't covered

-- Add unit tests for edge cases that weren't covered

-- Add pearson alias delegating to correlation

-- Add CovariancePopulation to Float64Data

-- Add pearson product-moment correlation coefficient

-- Add population covariance

-- Add random slice benchmarks

-- Add all applicable functions as methods to Float64Data type

-- Add MIT license badge

-- Add link to examples/methods.go

-- Add Protips for usage and documentation sections

-- Add tests for rounding up

-- Add webdoc target and remove linting from test target

-- Add example usage and consolidate contributing information

-

-### Added

-- Added MedianAbsoluteDeviation

-

-### Annotation

-- Annotation spelling error

-

-### Auto

-- auto commit

-- auto commit

-

-### Calculate

-- Calculate correlation with sdev and covp

-

-### Clean

-- Clean up README.md and add info for offline docs

-

-### Consolidated

-- Consolidated all error values.

-

-### Fix

-- Fix Percentile logic

-- Fix InterQuartileRange method test

-- Fix zero percent bug and add test

-- Fix usage example output typos

-

-### Improve

-- Improve bounds checking in Percentile

-- Improve error log messaging

-

-### Imput

-- Imput -> Input

-

-### Include

-- Include alternative way to set Float64Data in example

-

-### Make

-- Make various changes to README.md

-

-### Merge

-- Merge branch 'master' of github.com:montanaflynn/stats

-- Merge master

-

-### Mode

-- Mode calculation fix and tests

-

-### Realized

-- Realized the obvious efficiency gains of ignoring the unique numbers at the beginning of the slice.  Benchmark joy ensued.

-

-### Refactor

-- Refactor testing of Round()

-- Refactor setting Coordinate y field using Exp in place of Pow

-- Refactor Makefile and add docs target

-

-### Remove

-- Remove deep links to types and functions

-

-### Rename

-- Rename file from types to data

-

-### Retrieve

-- Retrieve InterQuartileRange for the Float64Data.

-

-### Split

-- Split up stats.go into separate files

-

-### Support

-- Support more types on LoadRawData() ([#36](https://github.com/montanaflynn/stats/issues/36))

-

-### Switch

-- Switch default and check targets

-

-### Update

-- Update Readme

-- Update example methods and some text

-- Update README and include Float64Data type method examples

-

-### Pull Requests

-- Merge pull request [#32](https://github.com/montanaflynn/stats/issues/32) from a-robinson/percentile

-- Merge pull request [#30](https://github.com/montanaflynn/stats/issues/30) from montanaflynn/fix-test

-- Merge pull request [#29](https://github.com/montanaflynn/stats/issues/29) from edupsousa/master

-- Merge pull request [#27](https://github.com/montanaflynn/stats/issues/27) from andrey-yantsen/fix-percentile-out-of-bounds

-- Merge pull request [#25](https://github.com/montanaflynn/stats/issues/25) from kazhuravlev/patch-1

-- Merge pull request [#22](https://github.com/montanaflynn/stats/issues/22) from JanBerktold/time-duration

-- Merge pull request [#24](https://github.com/montanaflynn/stats/issues/24) from alouche/master

-- Merge pull request [#21](https://github.com/montanaflynn/stats/issues/21) from brydavis/master

-- Merge pull request [#19](https://github.com/montanaflynn/stats/issues/19) from ginodeis/mode-bug

-- Merge pull request [#17](https://github.com/montanaflynn/stats/issues/17) from Kunde21/master

-- Merge pull request [#3](https://github.com/montanaflynn/stats/issues/3) from montanaflynn/master

-- Merge pull request [#2](https://github.com/montanaflynn/stats/issues/2) from montanaflynn/master

-- Merge pull request [#13](https://github.com/montanaflynn/stats/issues/13) from toashd/pearson

-- Merge pull request [#12](https://github.com/montanaflynn/stats/issues/12) from alixaxel/MAD

-- Merge pull request [#1](https://github.com/montanaflynn/stats/issues/1) from montanaflynn/master

-- Merge pull request [#11](https://github.com/montanaflynn/stats/issues/11) from Kunde21/modeMemReduce

-- Merge pull request [#10](https://github.com/montanaflynn/stats/issues/10) from Kunde21/ModeRewrite

-

-

-<a name="0.2.0"></a>

-## [0.2.0] - 2015-10-14

-### Add

-- Add Makefile with gometalinter, testing, benchmarking and coverage report targets

-- Add comments describing functions and structs

-- Add Correlation func

-- Add Covariance func

-- Add tests for new function shortcuts

-- Add StandardDeviation function as a shortcut to StandardDeviationPopulation

-- Add Float64Data and Series types

-

-### Change

-- Change Sample to return a standard []float64 type

-

-### Fix

-- Fix broken link to Makefile

-- Fix broken link and simplify code coverage reporting command

-- Fix go vet warning about printf type placeholder

-- Fix failing codecov test coverage reporting

-- Fix link to CHANGELOG.md

-

-### Fixed

-- Fixed typographical error, changed accomdate to accommodate in README.

-

-### Include

-- Include Variance and StandardDeviation shortcuts

-

-### Pass

-- Pass gometalinter

-

-### Refactor

-- Refactor Variance function to be the same as population variance

-

-### Release

-- Release version 0.2.0

-

-### Remove

-- Remove unneeded do packages and update cover URL

-- Remove sudo from pip install

-

-### Reorder

-- Reorder functions and sections

-

-### Revert

-- Revert to legacy containers to preserve go1.1 testing

-

-### Switch

-- Switch from legacy to container-based CI infrastructure

-

-### Update

-- Update contributing instructions and mention Makefile

-

-### Pull Requests

-- Merge pull request [#5](https://github.com/montanaflynn/stats/issues/5) from orthographic-pedant/spell_check/accommodate

-

-

-<a name="0.1.0"></a>

-## [0.1.0] - 2015-08-19

-### Add

-- Add CONTRIBUTING.md

-

-### Rename

-- Rename functions while preserving backwards compatibility

-

-

-<a name="0.0.9"></a>

-## 0.0.9 - 2015-08-18

-### Add

-- Add HarmonicMean func

-- Add GeometricMean func

-- Add .gitignore to avoid commiting test coverage report

-- Add Outliers stuct and QuantileOutliers func

-- Add Interquartile Range, Midhinge and Trimean examples

-- Add Trimean

-- Add Midhinge

-- Add Inter Quartile Range

-- Add a unit test to check for an empty slice error

-- Add Quantiles struct and Quantile func

-- Add more tests and fix a typo

-- Add Golang 1.5 to build tests

-- Add a standard MIT license file

-- Add basic benchmarking

-- Add regression models

-- Add codecov token

-- Add codecov

-- Add check for slices with a single item

-- Add coverage tests

-- Add back previous Go versions to Travis CI

-- Add Travis CI

-- Add GoDoc badge

-- Add Percentile and Float64ToInt functions

-- Add another rounding test for whole numbers

-- Add build status badge

-- Add code coverage badge

-- Add test for NaN, achieving 100% code coverage

-- Add round function

-- Add standard deviation function

-- Add sum function

-

-### Add

-- add tests for sample

-- add sample

-

-### Added

-- Added sample and population variance and deviation functions

-- Added README

-

-### Adjust

-- Adjust API ordering

-

-### Avoid

-- Avoid unintended consequence of using sort

-

-### Better

-- Better performing min/max

-- Better description

-

-### Change

-- Change package path to potentially fix a bug in earlier versions of Go

-

-### Clean

-- Clean up README and add some more information

-- Clean up test error

-

-### Consistent

-- Consistent empty slice error messages

-- Consistent var naming

-- Consistent func declaration

-

-### Convert

-- Convert ints to floats

-

-### Duplicate

-- Duplicate packages for all versions

-

-### Export

-- Export Coordinate struct fields

-

-### First

-- First commit

-

-### Fix

-- Fix copy pasta mistake testing the wrong function

-- Fix error message

-- Fix usage output and edit API doc section

-- Fix testing edgecase where map was in wrong order

-- Fix usage example

-- Fix usage examples

-

-### Include

-- Include the Nearest Rank method of calculating percentiles

-

-### More

-- More commenting

-

-### Move

-- Move GoDoc link to top

-

-### Redirect

-- Redirect kills newer versions of Go

-

-### Refactor

-- Refactor code and error checking

-

-### Remove

-- Remove unnecassary typecasting in sum func

-- Remove cover since it doesn't work for later versions of go

-- Remove golint and gocoveralls

-

-### Rename

-- Rename StandardDev to StdDev

-- Rename StandardDev to StdDev

-

-### Return

-- Return errors for all functions

-

-### Run

-- Run go fmt to clean up formatting

-

-### Simplify

-- Simplify min/max function

-

-### Start

-- Start with minimal tests

-

-### Switch

-- Switch wercker to travis and update todos

-

-### Table

-- table testing style

-

-### Update

-- Update README and move the example main.go into it's own file

-- Update TODO list

-- Update README

-- Update usage examples and todos

-

-### Use

-- Use codecov the recommended way

-- Use correct string formatting types

-

-### Pull Requests

-- Merge pull request [#4](https://github.com/montanaflynn/stats/issues/4) from saromanov/sample

-

-

-[Unreleased]: https://github.com/montanaflynn/stats/compare/v0.8.0...HEAD

-[v0.8.0]: https://github.com/montanaflynn/stats/compare/v0.7.1...v0.8.0

-[v0.7.1]: https://github.com/montanaflynn/stats/compare/v0.7.0...v0.7.1

-[v0.7.0]: https://github.com/montanaflynn/stats/compare/v0.6.6...v0.7.0

-[v0.6.6]: https://github.com/montanaflynn/stats/compare/v0.6.5...v0.6.6

-[v0.6.5]: https://github.com/montanaflynn/stats/compare/v0.6.4...v0.6.5

-[v0.6.4]: https://github.com/montanaflynn/stats/compare/v0.6.3...v0.6.4

-[v0.6.3]: https://github.com/montanaflynn/stats/compare/v0.6.2...v0.6.3

-[v0.6.2]: https://github.com/montanaflynn/stats/compare/v0.6.1...v0.6.2

-[v0.6.1]: https://github.com/montanaflynn/stats/compare/v0.6.0...v0.6.1

-[v0.6.0]: https://github.com/montanaflynn/stats/compare/v0.5.0...v0.6.0

-[v0.5.0]: https://github.com/montanaflynn/stats/compare/v0.4.0...v0.5.0

-[v0.4.0]: https://github.com/montanaflynn/stats/compare/0.3.0...v0.4.0

-[0.3.0]: https://github.com/montanaflynn/stats/compare/0.2.0...0.3.0

-[0.2.0]: https://github.com/montanaflynn/stats/compare/0.1.0...0.2.0

-[0.1.0]: https://github.com/montanaflynn/stats/compare/0.0.9...0.1.0

deleted file mode 100644

@@ -1,1347 +0,0 @@

-

-

-# stats

-`import "github.com/montanaflynn/stats"`

-

-* [Overview](#pkg-overview)

-* [Index](#pkg-index)

-* [Examples](#pkg-examples)

-* [Subdirectories](#pkg-subdirectories)

-

-## <a name="pkg-overview">Overview</a>

-Package stats is a well tested and comprehensive

-statistics library package with no dependencies.

-

-Example Usage:

-

-

-	// 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

-

-MIT License Copyright (c) 2014-2026 Montana Flynn (<a href="https://montanaflynn.com">https://montanaflynn.com</a>)

-

-

-

-

-## <a name="pkg-index">Index</a>

-* [Variables](#pkg-variables)

-* [func AutoCorrelation(data Float64Data, lags int) (float64, error)](#AutoCorrelation)

-* [func ChebyshevDistance(dataPointX, dataPointY Float64Data) (distance float64, err error)](#ChebyshevDistance)

-* [func Correlation(data1, data2 Float64Data) (float64, error)](#Correlation)

-* [func Covariance(data1, data2 Float64Data) (float64, error)](#Covariance)

-* [func CovariancePopulation(data1, data2 Float64Data) (float64, error)](#CovariancePopulation)

-* [func CumulativeSum(input Float64Data) ([]float64, error)](#CumulativeSum)

-* [func Entropy(input Float64Data) (float64, error)](#Entropy)

-* [func EuclideanDistance(dataPointX, dataPointY Float64Data) (distance float64, err error)](#EuclideanDistance)

-* [func ExpGeom(p float64) (exp float64, err error)](#ExpGeom)

-* [func GeometricMean(input Float64Data) (float64, error)](#GeometricMean)

-* [func HarmonicMean(input Float64Data) (float64, error)](#HarmonicMean)

-* [func InterQuartileRange(input Float64Data) (float64, error)](#InterQuartileRange)

-* [func ManhattanDistance(dataPointX, dataPointY Float64Data) (distance float64, err error)](#ManhattanDistance)

-* [func Max(input Float64Data) (max float64, err error)](#Max)

-* [func Mean(input Float64Data) (float64, error)](#Mean)

-* [func Median(input Float64Data) (median float64, err error)](#Median)

-* [func MedianAbsoluteDeviation(input Float64Data) (mad float64, err error)](#MedianAbsoluteDeviation)

-* [func MedianAbsoluteDeviationPopulation(input Float64Data) (mad float64, err error)](#MedianAbsoluteDeviationPopulation)

-* [func Midhinge(input Float64Data) (float64, error)](#Midhinge)

-* [func Min(input Float64Data) (min float64, err error)](#Min)

-* [func MinkowskiDistance(dataPointX, dataPointY Float64Data, lambda float64) (distance float64, err error)](#MinkowskiDistance)

-* [func Mode(input Float64Data) (mode []float64, err error)](#Mode)

-* [func Ncr(n, r int) int](#Ncr)

-* [func NormBoxMullerRvs(loc float64, scale float64, size int) []float64](#NormBoxMullerRvs)

-* [func NormCdf(x float64, loc float64, scale float64) float64](#NormCdf)

-* [func NormEntropy(loc float64, scale float64) float64](#NormEntropy)

-* [func NormFit(data []float64) [2]float64](#NormFit)

-* [func NormInterval(alpha float64, loc float64, scale float64) [2]float64](#NormInterval)

-* [func NormIsf(p float64, loc float64, scale float64) (x float64)](#NormIsf)

-* [func NormLogCdf(x float64, loc float64, scale float64) float64](#NormLogCdf)

-* [func NormLogPdf(x float64, loc float64, scale float64) float64](#NormLogPdf)

-* [func NormLogSf(x float64, loc float64, scale float64) float64](#NormLogSf)

-* [func NormMean(loc float64, scale float64) float64](#NormMean)

-* [func NormMedian(loc float64, scale float64) float64](#NormMedian)

-* [func NormMoment(n int, loc float64, scale float64) float64](#NormMoment)

-* [func NormPdf(x float64, loc float64, scale float64) float64](#NormPdf)

-* [func NormPpf(p float64, loc float64, scale float64) (x float64)](#NormPpf)

-* [func NormPpfRvs(loc float64, scale float64, size int) []float64](#NormPpfRvs)

-* [func NormSf(x float64, loc float64, scale float64) float64](#NormSf)

-* [func NormStats(loc float64, scale float64, moments string) []float64](#NormStats)

-* [func NormStd(loc float64, scale float64) float64](#NormStd)

-* [func NormVar(loc float64, scale float64) float64](#NormVar)

-* [func Pearson(data1, data2 Float64Data) (float64, error)](#Pearson)

-* [func Percentile(input Float64Data, percent float64) (percentile float64, err error)](#Percentile)

-* [func PercentileNearestRank(input Float64Data, percent float64) (percentile float64, err error)](#PercentileNearestRank)

-* [func PopulationVariance(input Float64Data) (pvar float64, err error)](#PopulationVariance)

-* [func ProbGeom(a int, b int, p float64) (prob float64, err error)](#ProbGeom)

-* [func Round(input float64, places int) (rounded float64, err error)](#Round)

-* [func Sample(input Float64Data, takenum int, replacement bool) ([]float64, error)](#Sample)

-* [func SampleVariance(input Float64Data) (svar float64, err error)](#SampleVariance)

-* [func Sigmoid(input Float64Data) ([]float64, error)](#Sigmoid)

-* [func SoftMax(input Float64Data) ([]float64, error)](#SoftMax)

-* [func StableSample(input Float64Data, takenum int) ([]float64, error)](#StableSample)

-* [func StandardDeviation(input Float64Data) (sdev float64, err error)](#StandardDeviation)

-* [func StandardDeviationPopulation(input Float64Data) (sdev float64, err error)](#StandardDeviationPopulation)

-* [func StandardDeviationSample(input Float64Data) (sdev float64, err error)](#StandardDeviationSample)

-* [func StdDevP(input Float64Data) (sdev float64, err error)](#StdDevP)

-* [func StdDevS(input Float64Data) (sdev float64, err error)](#StdDevS)

-* [func Sum(input Float64Data) (sum float64, err error)](#Sum)

-* [func Trimean(input Float64Data) (float64, error)](#Trimean)

-* [func VarGeom(p float64) (exp float64, err error)](#VarGeom)

-* [func VarP(input Float64Data) (sdev float64, err error)](#VarP)

-* [func VarS(input Float64Data) (sdev float64, err error)](#VarS)

-* [func Variance(input Float64Data) (sdev float64, err error)](#Variance)

-* [type Coordinate](#Coordinate)

-  * [func ExpReg(s []Coordinate) (regressions []Coordinate, err error)](#ExpReg)

-  * [func LinReg(s []Coordinate) (regressions []Coordinate, err error)](#LinReg)

-  * [func LogReg(s []Coordinate) (regressions []Coordinate, err error)](#LogReg)

-* [type Description](#Description)

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

-  * [func DescribePercentileFunc(input Float64Data, allowNaN bool, percentiles *[]float64, percentileFunc func(Float64Data, float64) (float64, error)) (*Description, error)](#DescribePercentileFunc)

-  * [func (d *Description) String(decimals int) string](#Description.String)

-* [type Float64Data](#Float64Data)

-  * [func LoadRawData(raw interface{}) (f Float64Data)](#LoadRawData)

-  * [func (f Float64Data) AutoCorrelation(lags int) (float64, error)](#Float64Data.AutoCorrelation)

-  * [func (f Float64Data) Correlation(d Float64Data) (float64, error)](#Float64Data.Correlation)

-  * [func (f Float64Data) Covariance(d Float64Data) (float64, error)](#Float64Data.Covariance)

-  * [func (f Float64Data) CovariancePopulation(d Float64Data) (float64, error)](#Float64Data.CovariancePopulation)

-  * [func (f Float64Data) CumulativeSum() ([]float64, error)](#Float64Data.CumulativeSum)

-  * [func (f Float64Data) Entropy() (float64, error)](#Float64Data.Entropy)

-  * [func (f Float64Data) GeometricMean() (float64, error)](#Float64Data.GeometricMean)

-  * [func (f Float64Data) Get(i int) float64](#Float64Data.Get)

-  * [func (f Float64Data) HarmonicMean() (float64, error)](#Float64Data.HarmonicMean)

-  * [func (f Float64Data) InterQuartileRange() (float64, error)](#Float64Data.InterQuartileRange)

-  * [func (f Float64Data) Len() int](#Float64Data.Len)

-  * [func (f Float64Data) Less(i, j int) bool](#Float64Data.Less)

-  * [func (f Float64Data) Max() (float64, error)](#Float64Data.Max)

-  * [func (f Float64Data) Mean() (float64, error)](#Float64Data.Mean)

-  * [func (f Float64Data) Median() (float64, error)](#Float64Data.Median)

-  * [func (f Float64Data) MedianAbsoluteDeviation() (float64, error)](#Float64Data.MedianAbsoluteDeviation)

-  * [func (f Float64Data) MedianAbsoluteDeviationPopulation() (float64, error)](#Float64Data.MedianAbsoluteDeviationPopulation)

-  * [func (f Float64Data) Midhinge(d Float64Data) (float64, error)](#Float64Data.Midhinge)

-  * [func (f Float64Data) Min() (float64, error)](#Float64Data.Min)

-  * [func (f Float64Data) Mode() ([]float64, error)](#Float64Data.Mode)

-  * [func (f Float64Data) Pearson(d Float64Data) (float64, error)](#Float64Data.Pearson)

-  * [func (f Float64Data) Percentile(p float64) (float64, error)](#Float64Data.Percentile)

-  * [func (f Float64Data) PercentileNearestRank(p float64) (float64, error)](#Float64Data.PercentileNearestRank)

-  * [func (f Float64Data) PopulationVariance() (float64, error)](#Float64Data.PopulationVariance)

-  * [func (f Float64Data) Quartile(d Float64Data) (Quartiles, error)](#Float64Data.Quartile)

-  * [func (f Float64Data) QuartileOutliers() (Outliers, error)](#Float64Data.QuartileOutliers)

-  * [func (f Float64Data) Quartiles() (Quartiles, error)](#Float64Data.Quartiles)

-  * [func (f Float64Data) Sample(n int, r bool) ([]float64, error)](#Float64Data.Sample)

-  * [func (f Float64Data) SampleVariance() (float64, error)](#Float64Data.SampleVariance)

-  * [func (f Float64Data) Sigmoid() ([]float64, error)](#Float64Data.Sigmoid)

-  * [func (f Float64Data) SoftMax() ([]float64, error)](#Float64Data.SoftMax)

-  * [func (f Float64Data) StandardDeviation() (float64, error)](#Float64Data.StandardDeviation)

-  * [func (f Float64Data) StandardDeviationPopulation() (float64, error)](#Float64Data.StandardDeviationPopulation)

-  * [func (f Float64Data) StandardDeviationSample() (float64, error)](#Float64Data.StandardDeviationSample)

-  * [func (f Float64Data) Sum() (float64, error)](#Float64Data.Sum)

-  * [func (f Float64Data) Swap(i, j int)](#Float64Data.Swap)

-  * [func (f Float64Data) Trimean(d Float64Data) (float64, error)](#Float64Data.Trimean)

-  * [func (f Float64Data) Variance() (float64, error)](#Float64Data.Variance)

-* [type Outliers](#Outliers)

-  * [func QuartileOutliers(input Float64Data) (Outliers, error)](#QuartileOutliers)

-* [type Quartiles](#Quartiles)

-  * [func Quartile(input Float64Data) (Quartiles, error)](#Quartile)

-* [type Series](#Series)

-  * [func ExponentialRegression(s Series) (regressions Series, err error)](#ExponentialRegression)

-  * [func LinearRegression(s Series) (regressions Series, err error)](#LinearRegression)

-  * [func LogarithmicRegression(s Series) (regressions Series, err error)](#LogarithmicRegression)

-

-#### <a name="pkg-examples">Examples</a>

-* [AutoCorrelation](#example_AutoCorrelation)

-* [ChebyshevDistance](#example_ChebyshevDistance)

-* [Correlation](#example_Correlation)

-* [CumulativeSum](#example_CumulativeSum)

-* [Entropy](#example_Entropy)

-* [ExpGeom](#example_ExpGeom)

-* [LinearRegression](#example_LinearRegression)

-* [LoadRawData](#example_LoadRawData)

-* [Max](#example_Max)

-* [Median](#example_Median)

-* [Min](#example_Min)

-* [ProbGeom](#example_ProbGeom)

-* [Round](#example_Round)

-* [Sigmoid](#example_Sigmoid)

-* [SoftMax](#example_SoftMax)

-* [Sum](#example_Sum)

-* [VarGeom](#example_VarGeom)

-

-#### <a name="pkg-files">Package files</a>

-[correlation.go](/src/github.com/montanaflynn/stats/correlation.go) [cumulative_sum.go](/src/github.com/montanaflynn/stats/cumulative_sum.go) [data.go](/src/github.com/montanaflynn/stats/data.go) [describe.go](/src/github.com/montanaflynn/stats/describe.go) [deviation.go](/src/github.com/montanaflynn/stats/deviation.go) [distances.go](/src/github.com/montanaflynn/stats/distances.go) [doc.go](/src/github.com/montanaflynn/stats/doc.go) [entropy.go](/src/github.com/montanaflynn/stats/entropy.go) [errors.go](/src/github.com/montanaflynn/stats/errors.go) [geometric_distribution.go](/src/github.com/montanaflynn/stats/geometric_distribution.go) [legacy.go](/src/github.com/montanaflynn/stats/legacy.go) [load.go](/src/github.com/montanaflynn/stats/load.go) [max.go](/src/github.com/montanaflynn/stats/max.go) [mean.go](/src/github.com/montanaflynn/stats/mean.go) [median.go](/src/github.com/montanaflynn/stats/median.go) [min.go](/src/github.com/montanaflynn/stats/min.go) [mode.go](/src/github.com/montanaflynn/stats/mode.go) [norm.go](/src/github.com/montanaflynn/stats/norm.go) [outlier.go](/src/github.com/montanaflynn/stats/outlier.go) [percentile.go](/src/github.com/montanaflynn/stats/percentile.go) [quartile.go](/src/github.com/montanaflynn/stats/quartile.go) [ranksum.go](/src/github.com/montanaflynn/stats/ranksum.go) [regression.go](/src/github.com/montanaflynn/stats/regression.go) [round.go](/src/github.com/montanaflynn/stats/round.go) [sample.go](/src/github.com/montanaflynn/stats/sample.go) [sigmoid.go](/src/github.com/montanaflynn/stats/sigmoid.go) [softmax.go](/src/github.com/montanaflynn/stats/softmax.go) [sum.go](/src/github.com/montanaflynn/stats/sum.go) [util.go](/src/github.com/montanaflynn/stats/util.go) [variance.go](/src/github.com/montanaflynn/stats/variance.go) 

-

-

-

-## <a name="pkg-variables">Variables</a>

-``` go

-var (

-    // ErrEmptyInput Input must not be empty

-    ErrEmptyInput = statsError{"Input must not be empty."}

-    // ErrNaN Not a number

-    ErrNaN = statsError{"Not a number."}

-    // ErrNegative Must not contain negative values

-    ErrNegative = statsError{"Must not contain negative values."}

-    // ErrZero Must not contain zero values

-    ErrZero = statsError{"Must not contain zero values."}

-    // ErrBounds Input is outside of range

-    ErrBounds = statsError{"Input is outside of range."}

-    // ErrSize Must be the same length

-    ErrSize = statsError{"Must be the same length."}

-    // ErrInfValue Value is infinite

-    ErrInfValue = statsError{"Value is infinite."}

-    // ErrYCoord Y Value must be greater than zero

-    ErrYCoord = statsError{"Y Value must be greater than zero."}

-)

-```

-These are the package-wide error values.