Java tutorial
/******************************************************************************* * This file is part of UserWeave. * * UserWeave is free software: you can redistribute it and/or modify * it under the terms of the GNU Affero General Public License as published by * the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. * * UserWeave is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU Affero General Public License for more details. * * You should have received a copy of the GNU Affero General Public License * along with UserWeave. If not, see <http://www.gnu.org/licenses/>. * * Copyright 2012 User Prompt GmbH | Psychologic IT Expertise *******************************************************************************/ package com.userweave.module.methoden.rrt.page.report; import java.io.Serializable; import java.util.List; import org.apache.commons.math.stat.descriptive.SummaryStatistics; @SuppressWarnings("serial") public class MeanAndStdDeviation implements Serializable { private double mean; private double stdDeviation; public MeanAndStdDeviation(List<Double> values) { SummaryStatistics stats = new SummaryStatistics(); for (Double value : values) { stats.addValue(value); } this.mean = stats.getMean(); this.stdDeviation = stats.getStandardDeviation(); } public MeanAndStdDeviation(double mean, double stdDeviation) { super(); this.mean = mean; this.stdDeviation = stdDeviation; } public double getMean() { return mean; } public void setMean(double mean) { this.mean = mean; } public double getStdDeviation() { return stdDeviation; } public void setStdDeviation(double stdDeviation) { this.stdDeviation = stdDeviation; } }