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Linq extensions to calculate basic statistics

Home Page: https://dkackman.github.io/LinqStatistics/

License: Apache License 2.0

C# 97.46% PowerShell 2.54%

linqstatistics's Introduction

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:

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());
}

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