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Java example source code file (StatisticalSummaryValues.java)

This example Java source code file (StatisticalSummaryValues.java) is included in the alvinalexander.com "Java Source Code Warehouse" project. The intent of this project is to help you "Learn Java by Example" TM.

Learn more about this Java project at its project page.

Java - Java tags/keywords

override, serializable, statisticalsummaryvalues, string, stringbuffer

The StatisticalSummaryValues.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/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 java.io.Serializable;

import org.apache.commons.math3.util.FastMath;
import org.apache.commons.math3.util.MathUtils;
import org.apache.commons.math3.util.Precision;

/**
 *  Value object representing the results of a univariate statistical summary.
 *
 */
public class StatisticalSummaryValues implements Serializable,
    StatisticalSummary {

    /** Serialization id */
    private static final long serialVersionUID = -5108854841843722536L;

    /** The sample mean */
    private final double mean;

    /** The sample variance */
    private final double variance;

    /** The number of observations in the sample */
    private final long n;

    /** The maximum value */
    private final double max;

    /** The minimum value */
    private final double min;

    /** The sum of the sample values */
    private final double sum;

    /**
      * Constructor
      *
      * @param mean  the sample mean
      * @param variance  the sample variance
      * @param n  the number of observations in the sample
      * @param max  the maximum value
      * @param min  the minimum value
      * @param sum  the sum of the values
     */
    public StatisticalSummaryValues(double mean, double variance, long n,
        double max, double min, double sum) {
        super();
        this.mean = mean;
        this.variance = variance;
        this.n = n;
        this.max = max;
        this.min = min;
        this.sum = sum;
    }

    /**
     * @return Returns the max.
     */
    public double getMax() {
        return max;
    }

    /**
     * @return Returns the mean.
     */
    public double getMean() {
        return mean;
    }

    /**
     * @return Returns the min.
     */
    public double getMin() {
        return min;
    }

    /**
     * @return Returns the number of values.
     */
    public long getN() {
        return n;
    }

    /**
     * @return Returns the sum.
     */
    public double getSum() {
        return sum;
    }

    /**
     * @return Returns the standard deviation
     */
    public double getStandardDeviation() {
        return FastMath.sqrt(variance);
    }

    /**
     * @return Returns the variance.
     */
    public double getVariance() {
        return variance;
    }

    /**
     * Returns true iff <code>object is a
     * <code>StatisticalSummaryValues instance and all statistics have
     *  the same values as this.
     *
     * @param object the object to test equality against.
     * @return true if object equals this
     */
    @Override
    public boolean equals(Object object) {
        if (object == this ) {
            return true;
        }
        if (object instanceof StatisticalSummaryValues == false) {
            return false;
        }
        StatisticalSummaryValues stat = (StatisticalSummaryValues) object;
        return Precision.equalsIncludingNaN(stat.getMax(),      getMax())  &&
               Precision.equalsIncludingNaN(stat.getMean(),     getMean()) &&
               Precision.equalsIncludingNaN(stat.getMin(),      getMin())  &&
               Precision.equalsIncludingNaN(stat.getN(),        getN())    &&
               Precision.equalsIncludingNaN(stat.getSum(),      getSum())  &&
               Precision.equalsIncludingNaN(stat.getVariance(), getVariance());
    }

    /**
     * Returns hash code based on values of statistics
     *
     * @return hash code
     */
    @Override
    public int hashCode() {
        int result = 31 + MathUtils.hash(getMax());
        result = result * 31 + MathUtils.hash(getMean());
        result = result * 31 + MathUtils.hash(getMin());
        result = result * 31 + MathUtils.hash(getN());
        result = result * 31 + MathUtils.hash(getSum());
        result = result * 31 + MathUtils.hash(getVariance());
        return result;
    }

    /**
     * Generates a text report displaying values of statistics.
     * Each statistic is displayed on a separate line.
     *
     * @return String with line feeds displaying statistics
     */
    @Override
    public String toString() {
        StringBuffer outBuffer = new StringBuffer();
        String endl = "\n";
        outBuffer.append("StatisticalSummaryValues:").append(endl);
        outBuffer.append("n: ").append(getN()).append(endl);
        outBuffer.append("min: ").append(getMin()).append(endl);
        outBuffer.append("max: ").append(getMax()).append(endl);
        outBuffer.append("mean: ").append(getMean()).append(endl);
        outBuffer.append("std dev: ").append(getStandardDeviation())
            .append(endl);
        outBuffer.append("variance: ").append(getVariance()).append(endl);
        outBuffer.append("sum: ").append(getSum()).append(endl);
        return outBuffer.toString();
    }

}

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