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

	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.equality.extendedMedianTest.*;
import javanpst.tests.equality.kruskalWallisTest.*;
import javanpst.data.structures.dataTable.DataTable;

/**
 * A sample program for testing equality between several populations, 
 * asuming location model
 * 
 * This program uses extended Median test and Kruskal-Wallis test. Further,
 * Kruskal-Wallis test also provides a multiple comparison procedure, to highligth
 *  which differences between populations are significant.
 *
 * @author Joaqu�n Derrac Rus (jderrac@decsai.ugr.es)
 * @version 1.0
 */
public class TestEquality{

	public static void main(String args []){
	
		/**
		 * K independant samples:   
		 */
		double samples [][] = {{19,14,12,38},
								{22,21,1,39},
								{25,2,5,40},
								{24,6,8,30},
								{29,10,4,31},
								{26,16,13,32},
								{37,17,9,33},
								{23,11,15,36},
								{27,18,3,34},
								{28,7,20,35}
								};
	
		//Data is formatted
		DataTable data = new DataTable(samples);
	
		//Create tests
		ExtendedMedianTest median = new ExtendedMedianTest(data);
	
		KruskalWallisTest kw = new KruskalWallisTest(data);
	
		//Run Extended Median test
		median.doTest();
		
		//Print results of Extended Median test
		System.out.println("Results of Extended Median test:\n"+median.printReport());
		
		System.out.println();
		System.out.println("*******************");
		System.out.println("*******************");
		System.out.println("*******************");
		System.out.println();
		
		//Run Kruskal-Wallis test
		kw.doTest();

		//Print results of Kruskal-Wallis test
		System.out.println("Results of Kruskal-Wallis test:\n"+kw.printReport());
		
		//print results of the multiple comparisons procedure
		System.out.println("Results of the multiple comparisons procedure:\n"+kw.printMultipleComparisonsProcedureReport());
		
	}//end-method

}//end-class