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Diffstat (limited to 'elki/src/test/java/de/lmu/ifi/dbs/elki/math/statistics/distribution/UniformDistributionTest.java')
| -rw-r--r-- | elki/src/test/java/de/lmu/ifi/dbs/elki/math/statistics/distribution/UniformDistributionTest.java | 91 |
1 files changed, 91 insertions, 0 deletions
diff --git a/elki/src/test/java/de/lmu/ifi/dbs/elki/math/statistics/distribution/UniformDistributionTest.java b/elki/src/test/java/de/lmu/ifi/dbs/elki/math/statistics/distribution/UniformDistributionTest.java new file mode 100644 index 00000000..84bff909 --- /dev/null +++ b/elki/src/test/java/de/lmu/ifi/dbs/elki/math/statistics/distribution/UniformDistributionTest.java @@ -0,0 +1,91 @@ +package de.lmu.ifi.dbs.elki.math.statistics.distribution; + +/* + This file is part of ELKI: + Environment for Developing KDD-Applications Supported by Index-Structures + + Copyright (C) 2015 + Ludwig-Maximilians-Universität München + Lehr- und Forschungseinheit für Datenbanksysteme + ELKI Development Team + + This program is free software: you can redistribute it and/or modify + it under the terms of the GNU Affero General Public License as published by + the Free Software Foundation, either version 3 of the License, or + (at your option) any later version. + + This program is distributed in the hope that it will be useful, + but WITHOUT ANY WARRANTY; without even the implied warranty of + MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + GNU Affero General Public License for more details. + + You should have received a copy of the GNU Affero General Public License + along with this program. If not, see <http://www.gnu.org/licenses/>. + */ +import org.junit.Test; + +import de.lmu.ifi.dbs.elki.JUnit4Test; + +/** + * Unit test for the Uniform distribution in ELKI. + * + * @author Erich Schubert + * @since 0.7.1 + */ +public class UniformDistributionTest extends AbstractDistributionTest implements JUnit4Test { + public static final double[] P_CDFPDF = { // + 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2.0, 1e-05, 1e-10, 0.1234567, 3.14159265359, 2.71828182846, 0.314159265359, 0.271828182846 // + }; + + public static final double[] P_PROBIT = { // + 0.0001, 0.001, 0.01, 0.1, 0.25, 0.5, 0.75, 0.9, 0.99, 0.999, 0.9999 // + }; + + @Test + public void testPDF() { + double[] buf = new double[P_CDFPDF.length]; + for(double l : new double[] { -1, 0, .1, 1 }) { + for(double h : new double[] { -1, 0, .1, 1, 2, 10 }) { + if(l < h) { + double w = h - l; + for(int i = 0; i < P_CDFPDF.length; i++) { + buf[i] = (P_CDFPDF[i] >= l && P_CDFPDF[i] < h) ? 1. / w : 0.; + } + checkPDF(new UniformDistribution(l, h), P_CDFPDF, buf, 1e-15); + } + } + } + } + + @Test + public void testCDF() { + double[] buf = new double[P_CDFPDF.length]; + for(double l : new double[] { -1, 0, .1, 1 }) { + for(double h : new double[] { -1, 0, .1, 1, 2, 10 }) { + if(l < h) { + double w = h - l; + for(int i = 0; i < P_CDFPDF.length; i++) { + buf[i] = P_CDFPDF[i] <= l ? 0. : P_CDFPDF[i] >= h ? 1. : (P_CDFPDF[i] - l) / w; + } + checkCDF(new UniformDistribution(l, h), P_CDFPDF, buf, 1e-15); + } + } + } + } + + @Test + public void testProbit() { + double[] buf = new double[P_PROBIT.length]; + for(double l : new double[] { -1, 0, .1, 1 }) { + for(double h : new double[] { -1, 0, .1, 1, 2, 10 }) { + if(l < h) { + double w = h - l; + for(int i = 0; i < P_PROBIT.length; i++) { + buf[i] = l + P_PROBIT[i] * w; + } + checkQuantile(new UniformDistribution(l, h), P_PROBIT, buf, 1e-15); + } + } + } + } +}
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