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

	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.countData.fisherTest.FisherTest;
import javanpst.data.structures.dataTable.DataTable;

/**
 * A sample program showing the use of the Fisher's exact test.
 * 
 * The classic experiment of Fisher's colleague identification of 
 * tea and milk is solved.
 *
 * @author Joaqun Derrac Rus (jderrac@decsai.ugr.es)
 * @version 1.0
 */
public class FisherExample{

	public static void main(String args []){
	
		/**
		 * Contingency matrix   
		 */
		double samples [][] = {{3,1},{1,3}};
	
		//Data is formatted
		DataTable data = new DataTable(samples);
	
		//Create test
		FisherTest test = new FisherTest(data);
	
		//Run Fisher test
		test.doTest();
		
		//Print results of Fisher test
		System.out.println("Results of Fisher's test:\n"+test.printReport());
		
	}//end-method

}//end-class