Is there a .Net Statistics library with T-Tests and p-values? [closed]

Answer 1

you might be interested in infer.net http://www.justinlee.sg/2009/12/09/infer-net-now-with-f-support/

"Infer.NET is a framework for running Bayesian inference in graphical models. You can use it to solve many different kinds of machine learning problems, from standard problems like classification or clustering through to customised solutions to domain-specific problems. Infer.NET has been used in a wide variety of domains including information retrieval, bioinformatics, epidemiology, vision, and many others."

Answer 2

Meta.Numerics has a lot of statistical functionality. It supports t-tests (one sample, two sample, paired), as well as Mann-Whitney and sign tests (non-parameteric alternatives to t-tests), and ANOVA (a t-test extended to more than two samples) and Kruskal-Wallis (a non-parameteric alternative to the ANOVA). And yes, it reports back a P-value with all tests.

Answer 3

Since version 4 the .NET libraries include the StatisticFormula class which provides T-Tests. This class is available in the namespaces System.Web.UI.DataVisualization.Charting and System.Windows.Forms.DataVisualization.Charting

Link to documentation and usage:

TTestResult result = Chart1.DataManipulator.Statistics.TTestUnEqualVariances(0.2, 0.05, "Series1", "Series2");

Answer 4

Use the accord framework:

Accord Framework

Answer 5

I suggest you look at the Math.NET project. It supports various distributions, but I don't know if it has t-tests and p-values.

Answer 6

NAverage is one such dll i have used in the past.

You can check it ...

http://www.mycsharp.de/wbb2/thread.php?threadid=85839

or from here ..

http://naverage.codeplex.com/

Let me know if that helps