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/*
* 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.legacy.stat.descriptive.moment;
import org.apache.commons.math4.legacy.stat.descriptive.StorelessUnivariateStatisticAbstractTest;
import org.apache.commons.math4.legacy.stat.descriptive.UnivariateStatistic;
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()));
}
@Test
public void testZeroSkewness() {
final double[] values = {2, 2, 2, 2};
Assert.assertEquals(0, new Skewness().evaluate(values), 0.0);
}
}