Utils.java

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

	This file is part of KEEL-software, the Data Mining tool for regression, 
	classification, clustering, pattern mining and so on.

	Copyright (C) 2004-2010
	
	F. Herrera (herrera@decsai.ugr.es)
    L. S�nchez (luciano@uniovi.es)
    J. Alcal�-Fdez (jalcala@decsai.ugr.es)
    S. Garc�a (sglopez@ujaen.es)
    A. Fern�ndez (alberto.fernandez@ujaen.es)
    J. Luengo (julianlm@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/
  
**********************************************************************/

/**
 * <p>
 * @author Written by Jaume Bacardit (La Salle, Ram�n Llull University - Barcelona) 28/03/2004
 * @author Modified by Xavi Sol� (La Salle, Ram�n Llull University - Barcelona) 23/12/2008
 * @version 1.1
 * @since JDK1.2
 * </p>
 */

package keel.Algorithms.Genetic_Rule_Learning.GAssist;
import keel.Dataset.*;

import java.lang.*;
import java.util.*;


public class Utils {
/**
 * <p>
 * Small routines doing trivial stuff here
 * </p>
 */
	
  public static double getAverage(ArrayList data) {
    double ave = 0;
    int i, size = data.size();

    for (i = 0; i < size; i++) {
      ave += ( (Double) data.get(i)).doubleValue();
    }

    ave /= (double) size;
    return ave;
  }

  public static double getDeviation(ArrayList data) {
    double ave = getAverage(data), dev = 0;
    int i, size = data.size();

    for (i = 0; i < size; i++) {
      double val = ( (Double) data.get(i)).doubleValue();
      dev += Math.pow(val - ave, 2.0);
    }

    dev /= (double) size;
    return Math.sqrt(dev);
  }
}