/***********************************************************************

	This file is part of JavaNPST, a Java library of NonParametric
	Statistical Tests.

	Copyright (C) 2011
	
	J. Derrac (jderrac@decsai.ugr.es)
	S. Garcia (sglopez@ujaen.es)
	F. Herrera (herrera@decsai.ugr.es)

	This program is free software: you can redistribute it and/or modify
	it under the terms of the GNU General Public License as published by
	the Free Software Foundation, either version 3 of the License, or
	(at your option) any later version.

	This program 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 General Public License for more details.

	You should have received a copy of the GNU General Public License
	along with this program.  If not, see http://www.gnu.org/licenses/
  
**********************************************************************/
package javanpst.examples;

import javanpst.tests.goodness.K_STest.*;
import javanpst.data.structures.sequence.NumericSequence;

/**
 * A sample program for testing goodness of fit of
 * a given sample to several continuous distribution, 
 * using Kolmogorov-Smirnov test.
 *
 * @author Joaqu�n Derrac Rus (jderrac@decsai.ugr.es)
 * @version 1.0
 */
public class ContinuousFit{

	public static void main(String args []){
	
		/**
		  *  Sample to test
		  */
		double sample [] = {9800,10200,9300,8700,15200,6900,8600,9600,12200,15500,11600,7200};
		
		//Create data structure
		NumericSequence data = new NumericSequence(sample);

		//Create tests
		K_STest test = new K_STest(data);

		//Adjust to a normal distribution of parameters m = 10000, s = 2500
		test.adjustNormal(10000,2500);
		
		//Run test
		test.doTest();
		
		//Print results 
		System.out.println("\nResults of Kolmogorov-Smirnov test:\n"+test.printReport());
		
		System.out.println();
		System.out.println("**************************************");
		System.out.println();
		
		//Adjust to a exponential distribution of parameters m = 10000
		test.adjustExponential(10000);
		
		//Run test
		test.doTest();
		
		//Print results 
		System.out.println("\nResults of Kolmogorov-Smirnov test:\n"+test.printReport());
	
	}//end-method

}//end-class