/* * 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.math4.stat.descriptive.moment; import org.apache.commons.math4.stat.descriptive.StorelessUnivariateStatisticAbstractTest; import org.apache.commons.math4.stat.descriptive.UnivariateStatistic; import org.apache.commons.math4.stat.descriptive.moment.Skewness; import org.junit.Assert; import org.junit.Test; /** * Test cases for the {@link UnivariateStatistic} class. * */ public class SkewnessTest extends StorelessUnivariateStatisticAbstractTest{ protected Skewness stat; /** * {@inheritDoc} */ @Override public UnivariateStatistic getUnivariateStatistic() { return new Skewness(); } /** * {@inheritDoc} */ @Override public double expectedValue() { return this.skew; } /** * Make sure Double.NaN is returned iff n < 3 */ @Test public void testNaN() { Skewness skew = new Skewness(); Assert.assertTrue(Double.isNaN(skew.getResult())); skew.increment(1d); Assert.assertTrue(Double.isNaN(skew.getResult())); skew.increment(1d); Assert.assertTrue(Double.isNaN(skew.getResult())); skew.increment(1d); Assert.assertFalse(Double.isNaN(skew.getResult())); } }