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Java example source code file (KolmogorovSmirnovDistributionTest.java)
The KolmogorovSmirnovDistributionTest.java Java example source code/* * Licensed to the Apache Software Foundation (ASF) under one or more * contributor license agreements. See the NOTICE file distributed with * this work for additional information regarding copyright ownership. * The ASF licenses this file to You 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 org.apache.commons.math3.distribution; import org.junit.Assert; import org.junit.Test; /** * Test cases for {@link KolmogorovSmirnovDistribution}. * */ @Deprecated public class KolmogorovSmirnovDistributionTest { private static final double TOLERANCE = 10e-10; @Test public void testCumulativeDensityFunction() { KolmogorovSmirnovDistribution dist; /* The code below is generated using the R-script located in * /src/test/R/KolmogorovSmirnovDistributionTestCases.R */ /* R version 2.11.1 (2010-05-31) */ /* formatC(.C("pkolmogorov2x", p = as.double(0.005), n = as.integer(200), PACKAGE = "stats")$p, 40) gives * 4.907829957616471622388047046469198862537e-86 */ dist = new KolmogorovSmirnovDistribution(200); Assert.assertEquals(4.907829957616471622388047046469198862537e-86, dist.cdf(0.005, false), TOLERANCE); /* formatC(.C("pkolmogorov2x", p = as.double(0.02), n = as.integer(200), PACKAGE = "stats")$p, 40) gives * 5.151982014280041957199687829849210629618e-06 */ dist = new KolmogorovSmirnovDistribution(200); Assert.assertEquals(5.151982014280041957199687829849210629618e-06, dist.cdf(0.02, false), TOLERANCE); /* formatC(.C("pkolmogorov2x", p = as.double(0.031111), n = as.integer(200), PACKAGE = "stats")$p, 40) gives * 0.01291614648162886340443389343590752105229 */ dist = new KolmogorovSmirnovDistribution(200); Assert.assertEquals(0.01291614648162886340443389343590752105229, dist.cdf(0.031111, false), TOLERANCE); /* formatC(.C("pkolmogorov2x", p = as.double(0.04), n = as.integer(200), PACKAGE = "stats")$p, 40) gives * 0.1067137011362679355208626930107129737735 */ dist = new KolmogorovSmirnovDistribution(200); Assert.assertEquals(0.1067137011362679355208626930107129737735, dist.cdf(0.04, false), TOLERANCE); /* formatC(.C("pkolmogorov2x", p = as.double(0.005), n = as.integer(341), PACKAGE = "stats")$p, 40) gives * 1.914734701559404553985102395145063418825e-53 */ dist = new KolmogorovSmirnovDistribution(341); Assert.assertEquals(1.914734701559404553985102395145063418825e-53, dist.cdf(0.005, false), TOLERANCE); /* formatC(.C("pkolmogorov2x", p = as.double(0.02), n = as.integer(341), PACKAGE = "stats")$p, 40) gives * 0.001171328985781981343872182321774744195864 */ dist = new KolmogorovSmirnovDistribution(341); Assert.assertEquals(0.001171328985781981343872182321774744195864, dist.cdf(0.02, false), TOLERANCE); /* formatC(.C("pkolmogorov2x", p = as.double(0.031111), n = as.integer(341), PACKAGE = "stats")$p, 40) gives * 0.1142955196267499418105728636874118819833 */ dist = new KolmogorovSmirnovDistribution(341); Assert.assertEquals(0.1142955196267499418105728636874118819833, dist.cdf(0.031111, false), TOLERANCE); /* formatC(.C("pkolmogorov2x", p = as.double(0.04), n = as.integer(341), PACKAGE = "stats")$p, 40) gives * 0.3685529520496805266915885113121476024389 */ dist = new KolmogorovSmirnovDistribution(341); Assert.assertEquals(0.3685529520496805266915885113121476024389, dist.cdf(0.04, false), TOLERANCE); /* formatC(.C("pkolmogorov2x", p = as.double(0.005), n = as.integer(389), PACKAGE = "stats")$p, 40) gives * 1.810657144595055888918455512707637574637e-47 */ dist = new KolmogorovSmirnovDistribution(389); Assert.assertEquals(1.810657144595055888918455512707637574637e-47, dist.cdf(0.005, false), TOLERANCE); /* formatC(.C("pkolmogorov2x", p = as.double(0.02), n = as.integer(389), PACKAGE = "stats")$p, 40) gives * 0.003068542559702356568168690742481885536108 */ dist = new KolmogorovSmirnovDistribution(389); Assert.assertEquals(0.003068542559702356568168690742481885536108, dist.cdf(0.02, false), TOLERANCE); /* formatC(.C("pkolmogorov2x", p = as.double(0.031111), n = as.integer(389), PACKAGE = "stats")$p, 40) gives * 0.1658291700122746237244797384846606291831 */ dist = new KolmogorovSmirnovDistribution(389); Assert.assertEquals(0.1658291700122746237244797384846606291831, dist.cdf(0.031111, false), TOLERANCE); /* formatC(.C("pkolmogorov2x", p = as.double(0.04), n = as.integer(389), PACKAGE = "stats")$p, 40) gives * 0.4513143712128902529379104180407011881471 */ dist = new KolmogorovSmirnovDistribution(389); Assert.assertEquals(0.4513143712128902529379104180407011881471, dist.cdf(0.04, false), TOLERANCE); } } Other Java examples (source code examples)Here is a short list of links related to this Java KolmogorovSmirnovDistributionTest.java source code file: |
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