Example usage for org.apache.commons.math3.stat.descriptive DescriptiveStatistics getGeometricMean

Introduction

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

Prototype

public double getGeometricMean() 

Source Link

Document

Returns the <a href="http://www.xycoon.com/geometric_mean.htm"> geometric mean </a> of the available values

Usage

From source file:com.github.aptd.simulation.core.statistic.local.CStatistic.java

/**
 * write data/*from www  .  j a v a 2 s  .c o  m*/
 *
 * @param p_writer writer instance
 * @param p_name section name
 * @param p_statistic statistic value
 */
private static void apply(final IWriter p_writer, final String p_name,
        final DescriptiveStatistics p_statistic) {
    p_writer.section(1, p_name);

    p_writer.value("geometricmean", p_statistic.getGeometricMean());
    p_writer.value("kurtosis", p_statistic.getKurtosis());
    p_writer.value("max", p_statistic.getMax());
    p_writer.value("min", p_statistic.getMin());
    p_writer.value("mean", p_statistic.getMean());
    p_writer.value("count", p_statistic.getN());
    p_writer.value("25-percentile", p_statistic.getPercentile(0.25));
    p_writer.value("75-percentile", p_statistic.getPercentile(0.75));
    p_writer.value("populationvariance", p_statistic.getPopulationVariance());
    p_writer.value("quadraticmean", p_statistic.getQuadraticMean());
    p_writer.value("standdeviation", p_statistic.getStandardDeviation());
    p_writer.value("skewness", p_statistic.getSkewness());
    p_writer.value("sum", p_statistic.getSum());
    p_writer.value("sumsequared", p_statistic.getSumsq());
    p_writer.value("variance", p_statistic.getVariance());
}

---

From source file:com.joptimizer.algebra.CholeskyDecompositionTest.java

/**
 * poor decomposition.//  ww w.ja  v a 2 s  .  c  o m
 * rescaling can help in doing it better
 */
public void testDecomposition2() throws Exception {
    log.debug("testDecomposition2");
    RealMatrix P1 = new Array2DRowRealMatrix(new double[][] { { 8.185301256666552E9, 1.5977225251367908E9 },
            { 1.5977225251367908E9, 3.118660129093004E8 } });
    CholeskyDecomposition cFact1 = new CholeskyDecomposition(P1);
    log.debug("L: " + cFact1.getL());
    log.debug("LT: " + cFact1.getLT());
    // check L.LT-Q=0
    double norm1 = cFact1.getL().multiply(cFact1.getLT()).subtract(P1).getNorm();
    log.debug("norm1: " + norm1);
    assertTrue(norm1 < 1.E-5);

    //poor precision, try to make it better

    //geometric eigenvalues mean
    DescriptiveStatistics ds = new DescriptiveStatistics(new double[] { 8.5E9, 0.00572 });
    RealMatrix P2 = P1.scalarMultiply(1. / ds.getGeometricMean());
    CholeskyDecomposition cFact2 = new CholeskyDecomposition(P2);
    log.debug("L: " + cFact2.getL());
    log.debug("LT: " + cFact2.getLT());
    // check L.LT-Q=0
    double norm2 = cFact2.getL().multiply(cFact2.getLT()).subtract(P2).getNorm();
    log.debug("norm2: " + norm2);
    assertTrue(norm2 < Utils.getDoubleMachineEpsilon());
}

---

From source file:com.joptimizer.solvers.CholeskyTest.java

/**
 * poor decomposition./*from ww w  . j  a va2s . c  om*/
 * rescaling can help in doing it better
 */
public void testDecomposition2() throws Exception {
    log.debug("testDecomposition2");
    RealMatrix P1 = new Array2DRowRealMatrix(new double[][] { { 8.185301256666552E9, 1.5977225251367908E9 },
            { 1.5977225251367908E9, 3.118660129093004E8 } });
    CholeskyDecomposition cFact1 = new CholeskyDecomposition(P1);
    log.debug("L: " + cFact1.getL());
    log.debug("LT: " + cFact1.getLT());
    // check L.LT-Q=0
    double norm1 = cFact1.getL().multiply(cFact1.getLT()).subtract(P1).getNorm();
    log.debug("norm1: " + norm1);
    assertTrue(norm1 < 1.E-5);

    //poor precision, try to make it better

    //geometric eigenvalues mean
    DescriptiveStatistics ds = new DescriptiveStatistics(new double[] { 8.5E9, 0.00572 });
    RealMatrix P2 = P1.scalarMultiply(1. / ds.getGeometricMean());
    CholeskyDecomposition cFact2 = new CholeskyDecomposition(P2);
    log.debug("L: " + cFact2.getL());
    log.debug("LT: " + cFact2.getLT());
    // check L.LT-Q=0
    double norm2 = cFact2.getL().multiply(cFact2.getLT()).subtract(P2).getNorm();
    log.debug("norm2: " + norm2);
    assertTrue(norm2 < 1.E-9);
}

---

From source file:com.insightml.models.meta.VoteModel.java

private double resolve(final DescriptiveStatistics stats) {
    switch (strategy) {
    case AVERAGE:
        return stats.getMean();
    case MEDIAN:/*from   w w  w  .j  a va 2  s.  co  m*/
        return stats.getPercentile(50);
    case GEOMETRIC:
        return stats.getGeometricMean();
    case HARMONIC:
        double sum = 0;
        for (final double value : stats.getValues()) {
            sum += 1 / value;
        }
        return stats.getN() * 1.0 / sum;
    default:
        throw new IllegalStateException();
    }
}

---

From source file:com.github.jessemull.microflexdouble.stat.GeometricMeanTest.java

/**
 * Tests the plate statistics method./*from   w  w w  . j a  v  a  2s  . co  m*/
 */
@Test
public void testPlate() {

    for (Plate plate : array) {

        Map<Well, Double> resultMap = new TreeMap<Well, Double>();
        Map<Well, Double> returnedMap = mean.plate(plate);

        for (Well well : plate) {

            double[] input = new double[well.size()];
            int index = 0;

            for (double bd : well) {
                input[index++] = bd;
                ;
            }

            DescriptiveStatistics stat = new DescriptiveStatistics(input);
            double result = stat.getGeometricMean();

            resultMap.put(well, result);
        }

        for (Well well : plate) {

            double result = Precision.round(resultMap.get(well), precision);
            double returned = Precision.round(returnedMap.get(well), precision);

            assertTrue(result == returned);
        }
    }
}

---

From source file:com.github.jessemull.microflex.stat.statdouble.GeometricMeanDoubleTest.java

/**
 * Tests the plate statistics method./* w  ww .  ja va 2s .  c  om*/
 */
@Test
public void testPlate() {

    for (PlateDouble plate : array) {

        Map<WellDouble, Double> resultMap = new TreeMap<WellDouble, Double>();
        Map<WellDouble, Double> returnedMap = mean.plate(plate);

        for (WellDouble well : plate) {

            double[] input = new double[well.size()];
            int index = 0;

            for (double bd : well) {
                input[index++] = bd;
                ;
            }

            DescriptiveStatistics stat = new DescriptiveStatistics(input);
            double result = stat.getGeometricMean();

            resultMap.put(well, result);
        }

        for (WellDouble well : plate) {

            double result = Precision.round(resultMap.get(well), precision);
            double returned = Precision.round(returnedMap.get(well), precision);

            assertTrue(result == returned);
        }
    }
}

---

From source file:com.github.jessemull.microflex.stat.statinteger.GeometricMeanIntegerTest.java

/**
 * Tests the plate statistics method./*from ww  w  .  j a v  a 2s .  c  o  m*/
 */
@Test
public void testPlate() {

    for (PlateInteger plate : array) {

        Map<WellInteger, Double> resultMap = new TreeMap<WellInteger, Double>();
        Map<WellInteger, Double> returnedMap = mean.plate(plate);

        for (WellInteger well : plate) {

            double[] input = new double[well.size()];
            int index = 0;

            for (double bd : well) {
                input[index++] = bd;
                ;
            }

            DescriptiveStatistics stat = new DescriptiveStatistics(input);
            double result = stat.getGeometricMean();

            resultMap.put(well, result);
        }

        for (WellInteger well : plate) {

            double result = Precision.round(resultMap.get(well), precision);
            double returned = Precision.round(returnedMap.get(well), precision);

            assertTrue(result == returned);
        }
    }
}

---

From source file:com.github.jessemull.microflexdouble.stat.GeometricMeanTest.java

/**
 * Tests set calculation.//from   w w  w.  j a  v  a 2s.  c  o  m
 */
@Test
public void testSet() {

    for (Plate plate : array) {

        Map<Well, Double> resultMap = new TreeMap<Well, Double>();
        Map<Well, Double> returnedMap = mean.set(plate.dataSet());

        for (Well well : plate) {

            double[] input = new double[well.size()];
            int index = 0;

            for (double bd : well) {
                input[index++] = bd;
                ;
            }

            DescriptiveStatistics stat = new DescriptiveStatistics(input);
            double result = stat.getGeometricMean();

            resultMap.put(well, result);
        }

        for (Well well : plate) {

            double result = Precision.round(resultMap.get(well), precision);
            double returned = Precision.round(returnedMap.get(well), precision);

            assertTrue(result == returned);
        }
    }

}

---

From source file:com.github.jessemull.microflex.stat.statdouble.GeometricMeanDoubleTest.java

/**
 * Tests set calculation./* w  w  w . j  a va 2s  .  c om*/
 */
@Test
public void testSet() {

    for (PlateDouble plate : array) {

        Map<WellDouble, Double> resultMap = new TreeMap<WellDouble, Double>();
        Map<WellDouble, Double> returnedMap = mean.set(plate.dataSet());

        for (WellDouble well : plate) {

            double[] input = new double[well.size()];
            int index = 0;

            for (double bd : well) {
                input[index++] = bd;
                ;
            }

            DescriptiveStatistics stat = new DescriptiveStatistics(input);
            double result = stat.getGeometricMean();

            resultMap.put(well, result);
        }

        for (WellDouble well : plate) {

            double result = Precision.round(resultMap.get(well), precision);
            double returned = Precision.round(returnedMap.get(well), precision);

            assertTrue(result == returned);
        }
    }

}

---

From source file:com.github.jessemull.microflex.stat.statinteger.GeometricMeanIntegerTest.java

/**
 * Tests set calculation./*from   w w  w  .j  a v  a  2  s .c  o m*/
 */
@Test
public void testSet() {

    for (PlateInteger plate : array) {

        Map<WellInteger, Double> resultMap = new TreeMap<WellInteger, Double>();
        Map<WellInteger, Double> returnedMap = mean.set(plate.dataSet());

        for (WellInteger well : plate) {

            double[] input = new double[well.size()];
            int index = 0;

            for (double bd : well) {
                input[index++] = bd;
                ;
            }

            DescriptiveStatistics stat = new DescriptiveStatistics(input);
            double result = stat.getGeometricMean();

            resultMap.put(well, result);
        }

        for (WellInteger well : plate) {

            double result = Precision.round(resultMap.get(well), precision);
            double returned = Precision.round(returnedMap.get(well), precision);

            assertTrue(result == returned);
        }
    }

}

---

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