Java Mean Calculation calculateMean(float[] data)

Description

Calculates mean value of float array

License

Open Source License

Parameter

Parameter	Description
data	float values

Return

Mean Value

Declaration

public static float calculateMean(float[] data) 

Method Source Code

//package com.java2s;
/*/*  w w w  .j ava 2  s .  c om*/
 * Copyright (c) 2008-2013 Maksim Khadkevich and Fondazione Bruno Kessler.
 *
 * This file is part of MART.
 * MART is free software; you can redistribute it and/or modify it
 * under the terms of the GNU General Public License version 2, as published
 * by the Free Software Foundation.
 *
 * MART 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 MART; if not, write to the Free Software Foundation,
 * Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
 */

public class Main {
    /**
     * Calculates mean value of float array
     *
     * @param data float values
     * @return Mean Value
     */
    public static float calculateMean(float[] data) {
        float sum = 0;
        for (int i = 0; i < data.length; i++) {
            sum += data[i];
        }
        return sum / data.length;
    }

    /**
     * Calculates mean value of float array
     *
     * @param data float values
     * @return Mean Value
     */
    public static float calculateMean(float[] data, int startIndex,
            int endIndex) {
        float sum = 0;
        for (int i = startIndex; i <= endIndex; i++) {
            sum += data[i];
        }
        return sum / (endIndex - startIndex + 1);
    }
}

Related

1. calculateMean(double[] values)
2. calculateMeanAndStandardDeviation(float[] data)
3. calculateMeanAndStandardDeviationIgnoreNegatives( float[] data)
4. calculateMeanAndStandardDeviationVectors( float[][] vectors)
5. calculateMeanLevel(float[] distribution, int mid, int oldMid, float difference)