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.moment; import java.io.Serializable; import java.util.Arrays; import org.apache.commons.math3.exception.DimensionMismatchException; /** * Returns the arithmetic mean of the available vectors. * @since 1.2 * @version $Id: VectorialMean.java 1416643 2012-12-03 19:37:14Z tn $ */ public class VectorialMean implements Serializable { /** Serializable version identifier */ private static final long serialVersionUID = 8223009086481006892L; /** Means for each component. */ private final Mean[] means; /** Constructs a VectorialMean. * @param dimension vectors dimension */ public VectorialMean(int dimension) { means = new Mean[dimension]; for (int i = 0; i < dimension; ++i) { means[i] = new Mean(); } } /** * Add a new vector to the sample. * @param v vector to add * @throws DimensionMismatchException if the vector does not have the right dimension */ public void increment(double[] v) throws DimensionMismatchException { if (v.length != means.length) { throw new DimensionMismatchException(v.length, means.length); } for (int i = 0; i < v.length; ++i) { means[i].increment(v[i]); } } /** * Get the mean vector. * @return mean vector */ public double[] getResult() { double[] result = new double[means.length]; for (int i = 0; i < result.length; ++i) { result[i] = means[i].getResult(); } return result; } /** * Get the number of vectors in the sample. * @return number of vectors in the sample */ public long getN() { return (means.length == 0) ? 0 : means[0].getN(); } /** {@inheritDoc} */ @Override public int hashCode() { final int prime = 31; int result = 1; result = prime * result + Arrays.hashCode(means); return result; } /** {@inheritDoc} */ @Override public boolean equals(Object obj) { if (this == obj) { return true; } if (!(obj instanceof VectorialMean)) { return false; } VectorialMean other = (VectorialMean) obj; if (!Arrays.equals(means, other.means)) { return false; } return true; } }