/*
 * Copyright (C) 2019, Matthias Sohn <matthias.sohn@sap.com> and others
 *
 * This program and the accompanying materials are made available under the
 * terms of the Eclipse Distribution License v. 1.0 which is available at
 * https://www.eclipse.org/org/documents/edl-v10.php.
 *
 * SPDX-License-Identifier: BSD-3-Clause
 */
package org.eclipse.jgit.util;

Simple double statistics, computed incrementally, variance and standard
deviation using Welford's online algorithm, see
https://en.wikipedia.org/wiki/Algorithms_for_calculating_variance#Welford's_online_algorithm
Since:
5.1.9/**
 * Simple double statistics, computed incrementally, variance and standard
 * deviation using Welford's online algorithm, see
 * https://en.wikipedia.org/wiki/Algorithms_for_calculating_variance#Welford's_online_algorithm
 *
 * @since 5.1.9
 */
public class Stats {
	private int n = 0;

	private double avg = 0.0;

	private double min = 0.0;

	private double max = 0.0;

	private double sum = 0.0;

	
Add a value
Params:
x – 
           value/**
	 * Add a value
	 *
	 * @param x
	 *            value
	 */
	public void add(double x) {
		n++;
		min = n == 1 ? x : Math.min(min, x);
		max = n == 1 ? x : Math.max(max, x);
		double d = x - avg;
		avg += d / n;
		sum += d * d * (n - 1) / n;
	}

	
Returns:
number of the added values/**
	 * @return number of the added values
	 */
	public int count() {
		return n;
	}

	
Returns:
minimum of the added values/**
	 * @return minimum of the added values
	 */
	public double min() {
		if (n < 1) {
			return Double.NaN;
		}
		return min;
	}

	
Returns:
maximum of the added values/**
	 * @return maximum of the added values
	 */
	public double max() {
		if (n < 1) {
			return Double.NaN;
		}
		return max;
	}

	
Returns:
average of the added values/**
	 * @return average of the added values
	 */

	public double avg() {
		if (n < 1) {
			return Double.NaN;
		}
		return avg;
	}

	
Returns:
variance of the added values/**
	 * @return variance of the added values
	 */
	public double var() {
		if (n < 2) {
			return Double.NaN;
		}
		return sum / (n - 1);
	}

	
Returns:
standard deviation of the added values/**
	 * @return standard deviation of the added values
	 */
	public double stddev() {
		return Math.sqrt(this.var());
	}
}