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

Introduction

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

Prototype

public double getPopulationVariance()

Source Link

Document

Returns the <a href="http://en.wikibooks.org/wiki/Statistics/Summary/Variance"> population variance</a> of the available values.

Usage

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

/**
 * write data//from   ww  w .  j a v a  2  s  .c  om
 *
 * @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:gr.iti.mklab.reveal.forensics.util.Util.java

public static double[][] blockVar(double[][] inputIm, int blockSize) {
    // block variance of input int image
    int blockedWidth = (int) Math.floor(inputIm.length / blockSize) * blockSize;
    int blockedHeight = (int) Math.floor(inputIm[0].length / blockSize) * blockSize;
    double[][] blockedIm = new double[blockedWidth / blockSize][blockedHeight / blockSize];
    DescriptiveStatistics blockValues;
    for (int ii = 0; ii < blockedWidth; ii = ii + blockSize) {
        for (int jj = 0; jj < blockedHeight; jj = jj + blockSize) {
            blockValues = new DescriptiveStatistics();
            for (int B_ii = ii; B_ii < ii + blockSize; B_ii++) {
                for (int B_jj = jj; B_jj < jj + blockSize; B_jj++) {
                    blockValues.addValue(Math.abs(inputIm[B_ii][B_jj]));
                }/*from w  w  w  .j  ava  2  s  . co m*/
            }
            blockedIm[ii / blockSize][jj / blockSize] = blockValues.getPopulationVariance();
        }
    }
    return blockedIm;
}

From source file:com.duy.pascal.interperter.libraries.math.MathLib.java

@PascalMethod(description = "")
public double PopNVariance(double... arr) {
    DescriptiveStatistics descriptiveStatistics1 = new DescriptiveStatistics(arr);
    return descriptiveStatistics1.getPopulationVariance();
}

From source file:com.duy.pascal.interperter.libraries.math.MathLib.java

@PascalMethod(description = "")
public double Popstddev(double... arr) {
    DescriptiveStatistics descriptiveStatistics1 = new DescriptiveStatistics(arr);
    return descriptiveStatistics1.getPopulationVariance();
}

From source file:com.intuit.tank.persistence.databases.BucketDataItemTest.java

/**
 * Run the DescriptiveStatistics getStats() method test.
 * /*from  www  .j av a2  s  .c o m*/
 * @throws Exception
 * 
 * @generatedBy CodePro at 9/10/14 10:32 AM
 */
@Test
public void testGetStats_1() throws Exception {
    BucketDataItem fixture = new BucketDataItem(1, new Date(), new DescriptiveStatistics());

    DescriptiveStatistics result = fixture.getStats();

    assertNotNull(result);
    assertEquals(
            "DescriptiveStatistics:\nn: 0\nmin: NaN\nmax: NaN\nmean: NaN\nstd dev: NaN\nmedian: NaN\nskewness: NaN\nkurtosis: NaN\n",
            result.toString());
    assertEquals(Double.NaN, result.getMax(), 1.0);
    assertEquals(Double.NaN, result.getVariance(), 1.0);
    assertEquals(Double.NaN, result.getMean(), 1.0);
    assertEquals(-1, result.getWindowSize());
    assertEquals(0.0, result.getSumsq(), 1.0);
    assertEquals(Double.NaN, result.getKurtosis(), 1.0);
    assertEquals(0.0, result.getSum(), 1.0);
    assertEquals(Double.NaN, result.getSkewness(), 1.0);
    assertEquals(Double.NaN, result.getPopulationVariance(), 1.0);
    assertEquals(Double.NaN, result.getStandardDeviation(), 1.0);
    assertEquals(Double.NaN, result.getGeometricMean(), 1.0);
    assertEquals(0L, result.getN());
    assertEquals(Double.NaN, result.getMin(), 1.0);
}

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

/**
 * Tests the plate statistics method./*w w  w  . j a  v  a2s .c om*/
 */
@Test
public void testPlate() {

    for (Plate plate : array) {

        Map<Well, Double> resultMap = new TreeMap<Well, Double>();
        Map<Well, Double> returnedMap = variance.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.getPopulationVariance();

            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.microflexdouble.stat.PopulationVarianceTest.java

/**
 * Tests set calculation.//from  ww w  .  j  av  a2  s  .co  m
 */
@Test
public void testSet() {

    for (Plate plate : array) {

        Map<Well, Double> resultMap = new TreeMap<Well, Double>();
        Map<Well, Double> returnedMap = variance.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.getPopulationVariance();

            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.statinteger.PopulationVarianceIntegerTest.java

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

    for (PlateInteger plate : array) {

        Map<WellInteger, Double> resultMap = new TreeMap<WellInteger, Double>();
        Map<WellInteger, Double> returnedMap = variance.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.getPopulationVariance();

            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.microflex.stat.statdouble.PopulationVarianceDoubleTest.java

/**
 * Tests the plate statistics method./* w w  w .ja v  a  2 s  .  com*/
 */
@Test
public void testPlate() {

    for (PlateDouble plate : array) {

        Map<WellDouble, Double> resultMap = new TreeMap<WellDouble, Double>();
        Map<WellDouble, Double> returnedMap = variance.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.getPopulationVariance();

            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.PopulationVarianceIntegerTest.java

/**
 * Tests set calculation./*from   w w  w  .  j  a  v a2s.c  o m*/
 */
@Test
public void testSet() {

    for (PlateInteger plate : array) {

        Map<WellInteger, Double> resultMap = new TreeMap<WellInteger, Double>();
        Map<WellInteger, Double> returnedMap = variance.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.getPopulationVariance();

            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);
        }
    }

}