measure.h

clustering for ns-2 simulation

#ifndef _MEASURE_H_
#define _MEASURE_H_

#include <vector>
#include <iostream>

using namespace std;

/**
 * That class realyze a set of measure on which you can
 * calculate, average, variance, confidence interval
 * and other statistical values.
 */
class Measure
{
public:
	
	/**
	 * Simple Contructor
	 */
	Measure() : count(0), averageMeasure(0.0), varianceMeasure(0.0) {}

	/**
	 * Copy Constructor
	 */
	/*
	Measure(Measure & measure) {
		averageMeasure = measure.getSumOfMeasures();
		varianceMeasure = measure.getSquaredSumOfMeasures();
		count = measure.getCount();
	}
	 */

	/**
	 * Copy Constructor
	 */
	Measure(Measure & measure) {
		averageMeasure = measure.getSumOfMeasures();
		varianceMeasure = measure.getSquaredSumOfMeasures();
		count = measure.getCount();
	}

	/**
	 * Copy Constructor
	 */
	Measure(const Measure & measure) {
		averageMeasure = measure.getSumOfMeasures();
		varianceMeasure = measure.getSquaredSumOfMeasures();
		count = measure.getCount();
	}
	
	/**
	 * Add a new sperimental measuration.
	 */
	void addMeasure(double value);
		
	/**
	 * Return average value of measures.
	 */
	double getAverage();

	/**
	 * Return variance between measures.
	 */
	double getVariance();

	/**
	 * Overload for adding measures.
	 */
	Measure operator+(Measure & sMeasure);

	/**
	 * Return the sum of measures.
	 */
	inline double getSumOfMeasures() const { return averageMeasure; }
	
	/**
	 * Return Sum of square of measures.
	 */
	inline double getSquaredSumOfMeasures() const { return varianceMeasure; }
	
	/**
	 * Return Number Of measures.
	 */
	inline int getCount() const { return count; }

protected:
	/**
	 * Average.
	 */
	double averageMeasure;
	
	/**
	 * Variance.
	 */
	double varianceMeasure;
	
	/**
	 * Numbero of measures.
	 */
	int count;
	
};

#endif