Java tutorial
/* * Copyright 2015 recommenders.net. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ package net.recommenders.rival.evaluation.statistics; import java.util.Map; import org.apache.commons.math3.stat.inference.TestUtils; import org.apache.commons.math3.stat.inference.WilcoxonSignedRankTest; /** * * Class used to compute statistical significance methods, such as t's Student * (paired or not) and Wilcoxon. * * @author <a href="http://github.com/abellogin">Alejandro</a> */ public class StatisticalSignificance { /** * Baseline metric for each dimension (users). */ private Map<?, Double> baselineMetricPerDimension; /** * Test metric for each dimension (users). */ private Map<?, Double> testMetricPerDimension; /** * Default constructor. * * @param theBaselineMetricPerDimension map for the baseline method, one * value for each user (dimension) * @param theTestMetricPerDimension map for the test method, one value for * each user (dimension) */ public StatisticalSignificance(final Map<?, Double> theBaselineMetricPerDimension, final Map<?, Double> theTestMetricPerDimension) { this.baselineMetricPerDimension = theBaselineMetricPerDimension; this.testMetricPerDimension = theTestMetricPerDimension; } /** * Gets the p-value according to the requested method. * * @param method one of "t", "pairedT", "wilcoxon" * @return the p-value according to the requested method */ public double getPValue(final String method) { double p = Double.NaN; double[] baselineValues = new double[baselineMetricPerDimension.values().size()]; int i = 0; for (Double d : baselineMetricPerDimension.values()) { baselineValues[i] = d; i++; } double[] testValues = new double[testMetricPerDimension.values().size()]; i = 0; for (Double d : testMetricPerDimension.values()) { testValues[i] = d; i++; } if ("t".equals(method)) { p = TestUtils.tTest(baselineValues, testValues); } else if ("pairedT".equals(method)) { p = TestUtils.pairedTTest(baselineValues, testValues); } else if ("wilcoxon".equals(method)) { p = new WilcoxonSignedRankTest().wilcoxonSignedRankTest(baselineValues, testValues, false); } return p; } /** * {@inheritDoc} */ @Override public String toString() { return "StatisticalSignificance"; } }