https://github.com/dkackman/linqstatistics

Linq extensions to calculate basic statistics
https://github.com/dkackman/linqstatistics

c-sharp linq-extensions statistics

Last synced: 3 days ago
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Linq extensions to calculate basic statistics

• Host: GitHub
• URL: https://github.com/dkackman/linqstatistics
• Owner: dkackman
• License: apache-2.0
• Created: 2013-08-05T23:51:27.000Z (over 11 years ago)
• Default Branch: master
• Last Pushed: 2024-03-27T00:58:11.000Z (9 months ago)
• Last Synced: 2024-12-16T21:49:08.001Z (7 days ago)
• Topics: c-sharp, linq-extensions, statistics
• Language: C#
• Homepage: https://dkackman.github.io/LinqStatistics/
• Size: 30.1 MB
• Stars: 99
• Watchers: 18
• Forks: 29
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: License.md
  • Code of conduct: CODE_OF_CONDUCT.md

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README

        
# LinqStatistics

[![.NET](https://github.com/dkackman/LinqStatistics/actions/workflows/dotnet.yml/badge.svg)](https://github.com/dkackman/LinqStatistics/actions/workflows/dotnet.yml)

[![CodeQL](https://github.com/dkackman/LinqStatistics/actions/workflows/github-code-scanning/codeql/badge.svg)](https://github.com/dkackman/LinqStatistics/actions/workflows/github-code-scanning/codeql)

[![NuGet](https://img.shields.io/nuget/dt/LinqStatistics)](https://www.nuget.org/packages/LinqStatistics/)

- [API Documentation](https://dkackman.github.io/LinqStatistics/)

Linq extensions to calculate basic statistics.

Extension methods to compute basic statistics modeled after Enumerable.Average. Stats include:

- Covariance

- Median

- Mode

- Pearson's Correlation Coefficient

- Range

- Standard Deviation (sample and population)

- Variance (sample and population)

- Root Mean Square

- Least Squares Linear Regression

- CountEach

- Histogram

Basic usage looks like:

```csharp

static void Main(string[] args)

{

    IEnumerable data = new int[] { 1, 2, 5, 6, 6, 8, 9, 9, 9 };

    Console.WriteLine("Count = {0}", data.Count());

    Console.WriteLine("Average = {0}", data.Average());

    Console.WriteLine("Median = {0}", data.Median());

    Console.WriteLine("Mode = {0}", data.Mode());

    Console.WriteLine("Sample Variance = {0}", data.Variance());

    Console.WriteLine("Sample Standard Deviation = {0}", data.StandardDeviation());

    Console.WriteLine("Population Variance = {0}", data.VarianceP());

    Console.WriteLine("Population Standard Deviation = {0}", data.StandardDeviationP());

    Console.WriteLine("Range = {0}", data.Range());

}

```

## Building

This project makes heavy use of T4 templates. You will need Visual Studio and [this extension](https://github.com/RdJNL/TextTemplatingCore) if you want to build from source. VSCode doesn't seem to support T4 templates, nor does `dotnet build`.

## Older Versions

The latest version of this library target .NET 8 LTS. If you need to target older versions of .NET, you can find the appropriate version of this library on NuGet. [Version 2.3.0](https://www.nuget.org/packages/LinqStatistics/?version=2.3.0) targets .Net Standard 1.1 and .Net Framework 4.x.