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.intuit.tank.persistence.databases.BucketDataItemTest.java

/**
 * Run the DescriptiveStatistics getStats() method test.
 * //from  ww w . j  ava2  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.microflex.stat.statinteger.GeometricMeanIntegerWeightsTest.java

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

    for (PlateInteger plate : array) {

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

        for (WellInteger well : plate) {

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

            for (double db : well) {
                input[index] = db * weights[index];
                index++;
            }

            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.GeometricMeanWeightsTest.java

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

    for (Plate plate : array) {

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

        for (Well well : plate) {

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

            for (double db : well) {
                input[index] = db * weights[index];
                index++;
            }

            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.GeometricMeanDoubleWeightsTest.java

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

    for (PlateDouble plate : array) {

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

        for (WellDouble well : plate) {

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

            for (double db : well) {
                input[index] = db * weights[index];
                index++;
            }

            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.GeometricMeanIntegerWeightsTest.java

/**
 * Tests set calculation./*  ww w  .  jav  a2  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(), weights);

        for (WellInteger well : plate) {

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

            for (double db : well) {
                input[index] = db * weights[index];
                index++;
            }

            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.GeometricMeanWeightsTest.java

/**
 * Tests set calculation.//from w w  w . j  a  v a 2s.co  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(), weights);

        for (Well well : plate) {

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

            for (double db : well) {
                input[index] = db * weights[index];
                index++;
            }

            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.GeometricMeanDoubleWeightsTest.java

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

    for (PlateDouble plate : array) {

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

        for (WellDouble well : plate) {

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

            for (double db : well) {
                input[index] = db * weights[index];
                index++;
            }

            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.GeometricMeanIntegerWeightsTest.java

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

    for (PlateInteger plate : array) {

        for (WellInteger well : plate) {

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

            for (double db : well) {
                input[index] = db * weights[index];
                index++;
            }

            DescriptiveStatistics stat = new DescriptiveStatistics(input);

            double result = Precision.round(stat.getGeometricMean(), precision);
            double returned = Precision.round(mean.well(well, weights), precision);

            assertTrue(result == returned);
        }
    }
}

---

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

/**
 * Tests well calculation./*www  .  ja v  a 2 s .  c  om*/
 */
@Test
public void testWell() {

    for (Plate plate : array) {

        for (Well well : plate) {

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

            for (double db : well) {
                input[index] = db * weights[index];
                index++;
            }

            DescriptiveStatistics stat = new DescriptiveStatistics(input);

            double result = Precision.round(stat.getGeometricMean(), precision);
            double returned = Precision.round(mean.well(well, weights), precision);

            assertTrue(result == returned);
        }
    }
}

---

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

/**
 * Tests well calculation.//from   www.  j  a  v  a 2 s .c  o m
 */
@Test
public void testWell() {

    for (PlateDouble plate : array) {

        for (WellDouble well : plate) {

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

            for (double db : well) {
                input[index] = db * weights[index];
                index++;
            }

            DescriptiveStatistics stat = new DescriptiveStatistics(input);

            double result = Precision.round(stat.getGeometricMean(), precision);
            double returned = Precision.round(mean.well(well, weights), precision);

            assertTrue(result == returned);
        }
    }
}

---

• «
• 1
• 2
• 3
• 4
• 5
• 6
• 7
• 8
• 9
• 10
• 11
• 12
• 13
• 14
• 15
• 16
• 17
• 18
• 19
• 20
• 21
• »