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package org.djutils.stats.summarizers;

import org.djutils.exceptions.Throw;

/**
 * The WeightedTally class defines a statistical tally. A WeightedTally is a time-weighted tally. The WeightedTally used to
 * extend the Tally, but because the calculation method and method signatures are different, the WeightedTally has been made
 * self-contained.
 * 

* Copyright (c) 2002-2024 Delft University of Technology, Jaffalaan 5, 2628 BX Delft, the Netherlands. All rights reserved. See * for project information https://simulation.tudelft.nl. The DSOL * project is distributed under a three-clause BSD-style license, which can be found at * * https://simulation.tudelft.nl/dsol/3.0/license.html.
* @author Alexander Verbraeck * @author Peter Knoppers */ public class WeightedTally implements TallyStatistic { /** */ private static final long serialVersionUID = 20200228L; /** The sum of the weights of this WeightedTally. */ private double sumOfWeights; /** The mean of this WeightedTally. */ private double weightedMean; /** The sum of this WeightedTally. */ private double weightedSum; /** The total registered weight times the variance of this WeightedTally. */ private double weightTimesVariance; /** The minimum observed value of this WeightedTally. */ private double min; /** The maximum observed value of this WeightedTally. */ private double max; /** The number of non-zero weight measurements of this WeightedTally. */ private long n; /** The description of this WeightedTally. */ private final String description; /** The synchronization lock. */ @SuppressWarnings("checkstyle:visibilitymodifier") protected Object semaphore = new Object(); /** * Construct a new WeightedTally with a description. * @param description String; the description of this WeightedTally */ public WeightedTally(final String description) { Throw.whenNull(description, "description cannot be null"); this.description = description; initialize(); } @Override public void initialize() { synchronized (this.semaphore) { this.min = Double.NaN; this.max = Double.NaN; this.n = 0; this.sumOfWeights = 0.0; this.weightedMean = 0.0; this.weightTimesVariance = 0.0; this.weightedSum = 0.0; } } /** * Process one observed weighted value. * @param weight double; the weight of the value to process * @param value double; the value to process * @return double; the value */ public double register(final double weight, final double value) { Throw.when(Double.isNaN(weight), IllegalArgumentException.class, "weight may not be NaN"); Throw.when(weight < 0, IllegalArgumentException.class, "weight may not be negative"); Throw.when(Double.isNaN(value), IllegalArgumentException.class, "value may not be NaN"); if (0.0 == weight) { return value; } synchronized (this.semaphore) { if (this.n == 0) { this.min = value; this.max = value; } this.n++; // Eq 47 in https://fanf2.user.srcf.net/hermes/doc/antiforgery/stats.pdf this.sumOfWeights += weight; double prevWeightedMean = this.weightedMean; // Eq 53 in https://fanf2.user.srcf.net/hermes/doc/antiforgery/stats.pdf this.weightedMean += weight / this.sumOfWeights * (value - prevWeightedMean); // Eq 68 in https://fanf2.user.srcf.net/hermes/doc/antiforgery/stats.pdf this.weightTimesVariance += weight * (value - prevWeightedMean) * (value - this.weightedMean); this.weightedSum += weight * value; if (value < this.min) { this.min = value; } if (value > this.max) { this.max = value; } } return value; } @Override public String getDescription() { return this.description; } @Override public double getMax() { return this.max; } @Override public double getMin() { return this.min; } @Override public long getN() { return this.n; } /** * Retrieve the current weighted sample mean of all observations since the initialization. * @return double; the current weighted sample mean */ public double getWeightedSampleMean() { synchronized (this.semaphore) { if (this.n > 0) { return this.weightedMean; } return Double.NaN; } } /** * Retrieve the current weighted mean of all observations since the initialization. * @return double; the current weighted mean */ public double getWeightedPopulationMean() { return getWeightedSampleMean(); } /** * Retrieve the current weighted sample standard deviation of the observations. * @return double; the current weighted sample standard deviation */ public double getWeightedSampleStDev() { synchronized (this.semaphore) { if (this.n > 1) { return Math.sqrt(getWeightedSampleVariance()); } return Double.NaN; } } /** * Retrieve the current weighted standard deviation of the observations. * @return double; the current weighted standard deviation */ public double getWeightedPopulationStDev() { synchronized (this.semaphore) { return Math.sqrt(getWeightedPopulationVariance()); } } /** * Retrieve the current weighted sample variance of the observations. * @return double; the current weighted sample variance of the observations */ public double getWeightedSampleVariance() { synchronized (this.semaphore) { if (this.n > 1) { return getWeightedPopulationVariance() * this.n / (this.n - 1); } return Double.NaN; } } /** * Retrieve the current weighted variance of the observations. * @return double; the current weighted variance of the observations */ public double getWeightedPopulationVariance() { synchronized (this.semaphore) { return this.weightTimesVariance / this.sumOfWeights; } } /** * Retrieve the current weighted sum of the values of the observations. * @return double; the current weighted sum of the values of the observations */ public double getWeightedSum() { return this.weightedSum; } /** * Return a string representing a header for a textual table with a monospaced font that can contain multiple statistics. * @return String; header for the textual table. */ public static String reportHeader() { return "-".repeat(113) + String.format("%n| %-48.48s | %6.6s | %10.10s | %10.10s | %10.10s | %10.10s |%n", "Weighted Tally name", "n", "w.mean", "w.st.dev", "min obs", "max obs") + "-".repeat(113); } @Override public String reportLine() { return String.format("| %-48.48s | %6d | %s | %s | %s | %s |", getDescription(), getN(), formatFixed(getWeightedPopulationMean(), 10), formatFixed(getWeightedPopulationStDev(), 10), formatFixed(getMin(), 10), formatFixed(getMax(), 10)); } /** * Return a string representing a footer for a textual table with a monospaced font that can contain multiple statistics. * @return String; footer for the textual table */ public static String reportFooter() { return "-".repeat(113); } @Override @SuppressWarnings("checkstyle:designforextension") public String toString() { return "WeightedTally [sumOfWeights=" + this.sumOfWeights + ", weightedMean=" + this.weightedMean + ", weightedSum=" + this.weightedSum + ", weightTimesVariance=" + this.weightTimesVariance + ", min=" + this.min + ", max=" + this.max + ", n=" + this.n + ", description=" + this.description + "]"; } }





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