mirror of
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richard-churchman
cc0a2bee21
Included open-source Accord.net library code natively to the solution given the deprecated state of that project. Accord.net will be supported inside Jube for own needs (such as upgrading to .Net 7+). Accord.net libraries modified to compile to .Net 6. Modified Accord.net libraries to better support Newtonsoft Json.net serialisation. Included annotations in the Accord.net libraries to house important dependency statistics. Serialised json can be used independently of Jube to recall a Neural Network. Removal of Binary Serializer totally as a precursor to the projects support of .Net 7+. Extensive bug fixing in crucial functions of Neural Network training and recall. While this part of the system remains in Alpha, it is substantially more fit for purpose.
127 lines
4.6 KiB
C#
127 lines
4.6 KiB
C#
// Accord Statistics Library
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// The Accord.NET Framework
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// http://accord-framework.net
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//
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// Copyright © César Souza, 2009-2017
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// cesarsouza at gmail.com
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//
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// This library is free software; you can redistribute it and/or
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// modify it under the terms of the GNU Lesser General Public
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// License as published by the Free Software Foundation; either
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// version 2.1 of the License, or (at your option) any later version.
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//
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// This library is distributed in the hope that it will be useful,
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// but WITHOUT ANY WARRANTY; without even the implied warranty of
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// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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// Lesser General Public License for more details.
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//
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// You should have received a copy of the GNU Lesser General Public
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// License along with this library; if not, write to the Free Software
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// Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA
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//
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namespace Accord.Statistics.Testing
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{
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using System;
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using Accord.Compat;
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/// <summary>
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/// Sign test for two paired samples.
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/// </summary>
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///
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/// <remarks>
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/// <para>
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/// This is a <see cref="BinomialTest">Binomial kind of test</see>.</para>
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/// </remarks>
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///
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/// <seealso cref="SignTest"/>
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/// <seealso cref="BinomialTest"/>
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/// <seealso cref="Accord.Statistics.Distributions.Univariate.BinomialDistribution"/>
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///
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[Serializable]
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public class TwoSampleSignTest : BinomialTest
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{
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/// <summary>
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/// Gets the alternative hypothesis under test. If the test is
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/// <see cref="IHypothesisTest.Significant"/>, the null hypothesis
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/// can be rejected in favor of this alternative hypothesis.
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/// </summary>
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///
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public new TwoSampleHypothesis Hypothesis { get; protected set; }
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/// <summary>
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/// Creates a new sign test for two samples.
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/// </summary>
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///
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/// <param name="positiveSamples">The number of positive samples (successes).</param>
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/// <param name="totalSamples">The total number of samples (trials).</param>
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/// <param name="alternate">The alternative hypothesis (research hypothesis) to test.</param>
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///
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public TwoSampleSignTest(int positiveSamples, int totalSamples, TwoSampleHypothesis alternate)
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{
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Compute(positiveSamples, totalSamples, alternate);
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}
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/// <summary>
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/// Creates a new sign test for two samples.
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/// </summary>
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///
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/// <param name="sample1">The first sample of observations.</param>
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/// <param name="sample2">The second sample of observations.</param>
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/// <param name="alternate">The alternative hypothesis (research hypothesis) to test.</param>
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///
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public TwoSampleSignTest(double[] sample1, double[] sample2, TwoSampleHypothesis alternate)
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{
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if (sample1.Length != sample2.Length)
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throw new DimensionMismatchException("sample2", "Both samples should be of the same size.");
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int positive = 0;
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int negative = 0;
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for (int i = 0; i < sample1.Length; i++)
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{
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double d = sample2[i] - sample1[i];
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if (d > 0) positive++;
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else if (d < 0) negative++;
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}
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Compute(positive, positive + negative, alternate);
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}
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/// <summary>
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/// Computes the two sample sign test.
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/// </summary>
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///
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protected void Compute(int positive, int total, TwoSampleHypothesis alternate)
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{
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this.Hypothesis = alternate;
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// The underlying test is to check whether the probability
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// value from the samples are higher than or lesser than 0.5,
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// thus the actual Binomial test hypothesis is inverted:
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OneSampleHypothesis binomialHypothesis;
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switch (alternate)
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{
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case TwoSampleHypothesis.ValuesAreDifferent:
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binomialHypothesis = OneSampleHypothesis.ValueIsDifferentFromHypothesis; break;
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case TwoSampleHypothesis.FirstValueIsGreaterThanSecond:
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binomialHypothesis = OneSampleHypothesis.ValueIsSmallerThanHypothesis; break;
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case TwoSampleHypothesis.FirstValueIsSmallerThanSecond:
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binomialHypothesis = OneSampleHypothesis.ValueIsGreaterThanHypothesis; break;
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default: throw new InvalidOperationException();
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}
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base.Compute(positive, total, 0.5, binomialHypothesis);
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}
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}
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}
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