Example usage for org.apache.commons.math3.stat.descriptive.moment Mean Mean

Introduction

In this page you can find the example usage for org.apache.commons.math3.stat.descriptive.moment Mean Mean.

Prototype

public Mean()

Source Link

Document

Constructs a Mean.

Usage

From source file:util.ManageResults.java

/**
 * /*from  www .  jav  a 2s  . c o m*/
 * @param fun
 * @return return the average
 */
private static double getAverage(List<Double> fun) {
    double[] funArray = new double[fun.size()];
    for (int i = 0; i < funArray.length; i++) {
        funArray[i] = fun.get(i);
    }
    Mean mean = new Mean();
    return mean.evaluate(funArray);
}

From source file:util.ResultsUtil.java

public static double getAverage(List<Double> fun) {
    double[] funArray = new double[fun.size()];
    for (int i = 0; i < funArray.length; i++) {
        funArray[i] = fun.get(i);
    }//from  w  ww . jav  a 2 s  .c o  m
    Mean mean = new Mean();
    return mean.evaluate(funArray);
}

From source file:utils.ZTransform.java

private void createZTransform(ArrayList<CMatrix> selectedMatrices) {
    if (selectedMatrices.isEmpty()) {
        Messenger.showWarningMessage("Please select datasets to continue.", "Empty selection");
        return;/* w ww  .  ja  va  2  s  .  com*/
    }

    for (CMatrix matrix : selectedMatrices) {
        if (!(matrix instanceof DoubleCMatrix)) {
            Messenger.showWarningMessage(
                    "Dataset '" + matrix + "' is not a numeric matrix.\nOperation aborted.",
                    "Data type error.");
            return;
        }
    }

    //selected matrices
    for (CMatrix matrix : selectedMatrices) {
        ArrayList<Double> values = new ArrayList<>();
        DoubleCMatrix newMatrix = new DoubleCMatrix(matrix.getName() + " z transformed", matrix.getNumRows(),
                matrix.getNumColumns());

        //
        for (int i = 0; i < matrix.getNumRows(); i++) {
            for (int j = 0; j < matrix.getNumColumns(); j++) {
                try {
                    Double value = (Double) matrix.getValue(i, j);
                    if (value == null || value.isInfinite() || value.isNaN()) {
                        continue;
                    } else {
                        values.add(value);
                    }
                } catch (Exception e) {
                }
            } //loop of num columns

        } //loop of num rows

        double[] v = new double[values.size()];
        for (int i = 0; i < v.length; i++) {
            v[i] = values.get(i);
        }

        Mean mean = new Mean();
        StandardDeviation sd = new StandardDeviation();

        double mu = mean.evaluate(v);
        double sigma = sd.evaluate(v);

        //            System.out.println("Mean: " + mu + " sd:" + sigma);
        for (int i = 0; i < matrix.getNumRows(); i++) {
            for (int j = 0; j < matrix.getNumColumns(); j++) {
                Double value = (Double) matrix.getValue(i, j);
                if (value == null || value.isInfinite() || value.isNaN()) {
                    continue;
                } else {
                    newMatrix.setValue(i, j, (value - mu) / sigma);
                }
            }
        }

        //
        for (int i = 0; i < matrix.getNumRows(); i++) {
            newMatrix.setRowLabel(i, matrix.getRowLabel(i));
        }

        //
        for (int i = 0; i < matrix.getNumColumns(); i++) {
            newMatrix.setColLabel(i, matrix.getColLabel(i));
        }

        CoolMapMaster.addNewBaseMatrix(newMatrix);

    } //end of matrices

}