LinqStatistics

• API Documentation

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:

static void Main(string[] args)
{
    IEnumerable<int> 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 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 targets .Net Standard 1.1 and .Net Framework 4.x.