net6.0.NETStandard2.0
Pragmatic Statistical Toolkit
Published
Feb 22, 2026
7mo ago
Total Downloads
13.0M
12,959,905
Install
dotnet add package Pragmastat --version 10.0.6
| Product | Versions |
|---|---|
| .NET | |
| .NET Standard |
README
C#
Install from NuGet via .NET CLI:
dotnet add package Pragmastat --version 10.0.6
Install from NuGet via Package Manager Console:
NuGet\Install-Package Pragmastat -Version 10.0.6
Source code: https://github.com/AndreyAkinshin/pragmastat/tree/v10.0.6/cs
Pragmastat on NuGet: https://www.nuget.org/packages/Pragmastat/
Demo
using static System.Console;
using Pragmastat.Distributions;
using Pragmastat.Randomization;
namespace Pragmastat.Demo;
class Program
{
static void Main()
{
// --- One-Sample ---
var x = new Sample(
1, 2, 3, 4, 5, 6, 7, 8, 9, 10,
11, 12, 13, 14, 15, 16, 17, 18, 19, 20);
WriteLine(Toolkit.Center(x)); // 10.5
WriteLine(Toolkit.CenterBounds(x, 0.05)); // [7.5;13.5]
WriteLine(Toolkit.Spread(x)); // 6
WriteLine(Toolkit.SpreadBounds(x, 0.05, "demo")); // [2;10]
// --- Two-Sample ---
x = new Sample(
1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15,
16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30);
var y = new Sample(
21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,
36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50);
WriteLine(Toolkit.Shift(x, y)); // -20
WriteLine(Toolkit.ShiftBounds(x, y, 0.05)); // [-25;-15]
WriteLine(Toolkit.Ratio(x, y)); // 0.43669798282695127
WriteLine(Toolkit.RatioBounds(x, y, 0.05)); // [0.31250000000000006;0.5599999999999999]
WriteLine(Toolkit.Disparity(x, y)); // -2.2222222222222223
WriteLine(Toolkit.DisparityBounds(x, y, 0.05, "demo")); // [-13;-0.8235294117647058]
// --- Randomization ---
var rng = new Rng("demo-uniform");
WriteLine(rng.UniformDouble()); // 0.2640554428629759
WriteLine(rng.UniformDouble()); // 0.9348534835582796
rng = new Rng("demo-uniform-int");
WriteLine(rng.UniformInt32(0, 100)); // 41
rng = new Rng("demo-sample");
WriteLine(string.Join(", ", rng.Sample([0.0, 1, 2, 3, 4, 5, 6, 7, 8, 9], 3))); // 3, 8, 9
rng = new Rng("demo-resample");
WriteLine(string.Join(", ", rng.Resample([1.0, 2, 3, 4, 5], 7))); // 3, 1, 3, 2, 4, 1, 2
rng = new Rng("demo-shuffle");
WriteLine(string.Join(", ", rng.Shuffle([1.0, 2, 3, 4, 5]))); // 4, 2, 3, 5, 1
// --- Distributions ---
rng = new Rng("demo-dist-additive");
WriteLine(new Additive(0, 1).Sample(rng)); // 0.17410448679568188
rng = new Rng("demo-dist-multiplic");
WriteLine(new Multiplic(0, 1).Sample(rng)); // 1.1273244602673853
rng = new Rng("demo-dist-exp");
WriteLine(new Exp(1).Sample(rng)); // 0.6589065267276553
rng = new Rng("demo-dist-power");
WriteLine(new Power(1, 2).Sample(rng)); // 1.023677535537084
rng = new Rng("demo-dist-uniform");
WriteLine(new Uniform(0, 10).Sample(rng)); // 6.54043657816832
}
}
Changes from Previous Version
No structural changes between v10.0.5 and v10.0.6.
Adoption Assessment
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