Java tutorial
/* * 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.stat.descriptive; import org.apache.commons.math3.exception.MathIllegalArgumentException; import org.apache.commons.math3.util.MathArrays; /** * Base interface implemented by all statistics. * * @version $Id: UnivariateStatistic.java 1416643 2012-12-03 19:37:14Z tn $ */ public interface UnivariateStatistic extends MathArrays.Function { /** * Returns the result of evaluating the statistic over the input array. * * @param values input array * @return the value of the statistic applied to the input array * @throws MathIllegalArgumentException if values is null */ double evaluate(double[] values) throws MathIllegalArgumentException; /** * Returns the result of evaluating the statistic over the specified entries * in the input array. * * @param values the input array * @param begin the index of the first element to include * @param length the number of elements to include * @return the value of the statistic applied to the included array entries * @throws MathIllegalArgumentException if values is null or the indices are invalid */ double evaluate(double[] values, int begin, int length) throws MathIllegalArgumentException; /** * Returns a copy of the statistic with the same internal state. * * @return a copy of the statistic */ UnivariateStatistic copy(); }