

Java example source code file (StatisticalMultivariateSummary.java)
The StatisticalMultivariateSummary.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/LICENSE2.0 * * 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.linear.RealMatrix; /** * Reporting interface for basic multivariate statistics. * * @since 1.2 */ public interface StatisticalMultivariateSummary { /** * Returns the dimension of the data * @return The dimension of the data */ int getDimension(); /** * Returns an array whose i<sup>th entry is the * mean of the i<sup>th entries of the arrays * that correspond to each multivariate sample * * @return the array of component means */ double[] getMean(); /** * Returns the covariance of the available values. * @return The covariance, null if no multivariate sample * have been added or a zeroed matrix for a single value set. */ RealMatrix getCovariance(); /** * Returns an array whose i<sup>th entry is the * standard deviation of the i<sup>th entries of the arrays * that correspond to each multivariate sample * * @return the array of component standard deviations */ double[] getStandardDeviation(); /** * Returns an array whose i<sup>th entry is the * maximum of the i<sup>th entries of the arrays * that correspond to each multivariate sample * * @return the array of component maxima */ double[] getMax(); /** * Returns an array whose i<sup>th entry is the * minimum of the i<sup>th entries of the arrays * that correspond to each multivariate sample * * @return the array of component minima */ double[] getMin(); /** * Returns the number of available values * @return The number of available values */ long getN(); /** * Returns an array whose i<sup>th entry is the * geometric mean of the i<sup>th entries of the arrays * that correspond to each multivariate sample * * @return the array of component geometric means */ double[] getGeometricMean(); /** * Returns an array whose i<sup>th entry is the * sum of the i<sup>th entries of the arrays * that correspond to each multivariate sample * * @return the array of component sums */ double[] getSum(); /** * Returns an array whose i<sup>th entry is the * sum of squares of the i<sup>th entries of the arrays * that correspond to each multivariate sample * * @return the array of component sums of squares */ double[] getSumSq(); /** * Returns an array whose i<sup>th entry is the * sum of logs of the i<sup>th entries of the arrays * that correspond to each multivariate sample * * @return the array of component log sums */ double[] getSumLog(); } Other Java examples (source code examples)Here is a short list of links related to this Java StatisticalMultivariateSummary.java source code file: 
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