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

	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.bivariate.kendallTest.KendallTest;
import javanpst.tests.bivariate.danielTrendTest.*;
import javanpst.data.structures.dataTable.DataTable;

/**
 * A sample program for bivariate population analysis.
 * 
 * This program uses Kendall test and Daniel Trend test
 * to analize correlation between two samples. 
 *
 * @author Joaqu�n Derrac Rus (jderrac@decsai.ugr.es)
 * @version 1.0
 */
public class BivariateAnalysis{

	public static void main(String args []){
	
		/**
		 * A bivariate sample:   
		 */
		double samples [][] = {{1,4},{5,3},{9,6},{7,8},{4,2},{6,7},{8,9},{2,1},{3,5}};
	
		//Data is formatted
		DataTable data = new DataTable(samples);
	
		//Create tests
		KendallTest kendall = new KendallTest(data);
	
		DanielTrendTest spearman = new DanielTrendTest(data);
	
		//Run Kendall test
		kendall.doTest();
		
		//Prompt Kendall's tau computed
		System.out.println();
		System.out.println("Kendall's tau: "+kendall.getT());
		
		//Print results of Kendall test
		System.out.println("Results of Kendall's test:\n"+kendall.printReport());
		
		System.out.println();
		System.out.println("*******************");
		System.out.println("*******************");
		System.out.println("*******************");
		System.out.println();
		
		//Run Daniel Trend test
		spearman.doTest();
		
		//Prompt Spearman's correlation coefficient computed
		System.out.println();
		System.out.println("Spearman's correlation coefficient: "+spearman.getR());
		
		//Print results of Daniel Trend test
		System.out.println("Results of Daniel Trend test:\n"+spearman.printReport());
		
	}//end-method

}//end-class