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

	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.chiSquareTest.*;
import javanpst.data.structures.dataTable.DataTable;

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

	public static void main(String args []){
	
		/**
		  *  Sample to test
		  */
		double sample [][] = {{0.0,10.0},
								{1.0,24.0},
								{2.0,10.0},
								{3.0,4.0},
								{4.0,1.0},
								{5.0,1.0},
								{6.0,0.0}
								};
		
		//Create data structure
		DataTable data = new DataTable(sample);

		//Create test.
		ChiSquareTest test = new ChiSquareTest(data);
		
		//Adjust to a binomial distribution with N=13 and p unknown
		test.adjustBinomial(13);
		
		//Run test
		test.doTest();
		
		//Print results 
		System.out.println("\nResults of Chi-square test:\n"+test.printReport());
		
		System.out.println();
		System.out.println("**************************************");
		System.out.println();
		
		//Adjust to a Poisson distribution with mean unknown
		test.adjustPoisson();
		
		//Run test
		test.doTest();
		
		//Print results 
		System.out.println("\nResults of Chi-square test:\n"+test.printReport());
	
	}//end-method

}//end-class