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.jessemull.microflex.stat.statdouble.PopulationVarianceDoubleTest.java

/**
 * Tests well calculation using indices.
 *//*  w ww.j  a v a2  s . c o  m*/
@Test
public void testWellIndices() {

    for (PlateDouble plate : arrayIndices) {

        for (WellDouble well : plate) {

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

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

            int size = arrayIndices[0].first().size();
            int begin = random.nextInt(size - 5);
            int end = (begin + 4) + random.nextInt(size - (begin + 4) + 1);

            DescriptiveStatistics stat = new DescriptiveStatistics(ArrayUtils.subarray(input, begin, end));
            double result = Precision.round(stat.getPopulationVariance(), precision);
            double returned = Precision.round(variance.well(well, begin, end - begin), precision);

            assertTrue(result == returned);
        }
    }
}

---

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

/**
 * Tests the plate statistics method.//from   ww w.  ja v a2  s .c  o m
 */
@Test
public void testPlate() {

    for (Plate plate : array) {

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

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

    for (PlateDouble plate : array) {

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

/**
 * Tests the plate statistics method.//w  w  w . jav  a2  s  . 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, 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.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.microflexdouble.stat.PopulationVarianceWeightsTest.java

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

    for (Plate plate : array) {

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

/**
 * Tests set calculation.//from w  ww  .  j  a  v  a2 s.c  om
 */
@Test
public void testSet() {

    for (PlateDouble plate : array) {

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

/**
 * Tests set calculation.//from  w w w  .ja  v  a  2  s  .  co 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(), 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.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.microflexdouble.stat.PopulationVarianceWeightsTest.java

/**
 * Tests well calculation./*from w  w w .ja  va2s  . c o  m*/
 */
@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.getPopulationVariance(), precision);
            double returned = Precision.round(variance.well(well, weights), precision);

            assertTrue(result == returned);
        }
    }
}

---

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

/**
 * Tests well calculation./*from   w w w  . j av a  2  s  .  co 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.getPopulationVariance(), precision);
            double returned = Precision.round(variance.well(well, weights), precision);

            assertTrue(result == returned);
        }
    }
}

---

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

/**
 * Tests well calculation.//w w  w.  ja v a2 s . c  o  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.getPopulationVariance(), precision);
            double returned = Precision.round(variance.well(well, weights), precision);

            assertTrue(result == returned);
        }
    }
}

---

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