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 set calculation using indices.//from  w w  w . ja  va 2 s  .  c o  m
 */
@Test
public void testSetIndices() {

    for (PlateDouble plate : arrayIndices) {

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

        Map<WellDouble, Double> resultMap = new TreeMap<WellDouble, Double>();
        Map<WellDouble, Double> returnedMap = variance.set(plate.dataSet(), begin, end - begin);

        for (WellDouble well : plate) {

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

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

            DescriptiveStatistics stat = new DescriptiveStatistics(ArrayUtils.subarray(input, begin, end));
            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.statdouble.PopulationVarianceDoubleTest.java

/**
 * Tests the aggregated plate statistics method using the values between the indices of
 * the collection./* ww w.  jav  a 2s .c  o  m*/
 */
@Test
public void testAggregatedSetCollectionIndices() {

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

    List<WellSetDouble> collection = new ArrayList<WellSetDouble>();

    for (PlateDouble plate : arrayIndices) {
        collection.add(plate.dataSet());
    }

    Map<WellSetDouble, Double> aggregatedReturnedMap = variance.setsAggregated(collection, begin, end - begin);
    Map<WellSetDouble, Double> aggregatedResultMap = new TreeMap<WellSetDouble, Double>();

    for (WellSetDouble set : collection) {

        List<Double> resultList = new ArrayList<Double>();

        for (WellDouble well : set) {
            resultList.addAll(well.data().subList(begin, end));
        }

        double[] inputAggregated = new double[resultList.size()];

        for (int i = 0; i < resultList.size(); i++) {
            inputAggregated[i] = resultList.get(i);
        }

        DescriptiveStatistics statAggregated = new DescriptiveStatistics(inputAggregated);
        double aggregatedResult = statAggregated.getPopulationVariance();

        aggregatedResultMap.put(set, aggregatedResult);
    }

    for (WellSetDouble set : collection) {

        double result = Precision.round(aggregatedResultMap.get(set), precision);
        double returned = Precision.round(aggregatedReturnedMap.get(set), precision);

        assertTrue(result == returned);
    }
}

---

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

/**
 * Tests the aggregated plate statistics method using the values between the indices.
 */// w w  w . j  ava  2 s  .  c om
@Test
public void testAggregatedPlateIndices() {

    for (PlateInteger plate : arrayIndices) {

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

        List<Double> resultList = new ArrayList<Double>();
        double aggregatedReturned = Precision.round(variance.platesAggregated(plate, begin, end - begin),
                precision);

        for (WellInteger well : plate) {
            resultList.addAll(well.toDouble().subList(begin, end));
        }

        double[] inputAggregated = new double[resultList.size()];

        for (int i = 0; i < resultList.size(); i++) {
            inputAggregated[i] = resultList.get(i);
        }

        DescriptiveStatistics statAggregated = new DescriptiveStatistics(inputAggregated);
        double aggregatedResult = Precision.round(statAggregated.getPopulationVariance(), precision);

        assertTrue(aggregatedResult == aggregatedReturned);
    }
}

---

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

/**
 * Tests the aggregated plate statistics method using the values between the indices.
 *//*from ww  w . j a  va2 s .  co  m*/
@Test
public void testAggregatedSetIndices() {

    for (PlateInteger plate : arrayIndices) {

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

        List<Double> resultList = new ArrayList<Double>();
        double aggregatedReturned = Precision
                .round(variance.setsAggregated(plate.dataSet(), begin, end - begin), precision);

        for (WellInteger well : plate) {
            resultList.addAll(well.toDouble().subList(begin, end));
        }

        double[] inputAggregated = new double[resultList.size()];

        for (int i = 0; i < resultList.size(); i++) {
            inputAggregated[i] = resultList.get(i);
        }

        DescriptiveStatistics statAggregated = new DescriptiveStatistics(inputAggregated);
        double resultAggregated = Precision.round(statAggregated.getPopulationVariance(), precision);

        assertTrue(resultAggregated == aggregatedReturned);
    }
}

---

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

/**
 * Tests the aggregated plate statistics method using the values between the indices of
 * the array.//from w  w  w .  ja v a  2s . c  om
 */
@Test
public void testAggregatedSetArrayIndices() {

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

    WellSetInteger[] setArrayIndices = new WellSetInteger[arrayIndices.length];

    for (int i = 0; i < setArrayIndices.length; i++) {
        setArrayIndices[i] = arrayIndices[i].dataSet();
    }

    Map<WellSetInteger, Double> aggregatedReturnedMap = variance.setsAggregated(setArrayIndices, begin,
            end - begin);
    Map<WellSetInteger, Double> aggregatedResultMap = new TreeMap<WellSetInteger, Double>();

    for (WellSetInteger set : setArrayIndices) {

        List<Double> resultList = new ArrayList<Double>();

        for (WellInteger well : set) {
            resultList.addAll(well.toDouble().subList(begin, end));
        }

        double[] inputAggregated = new double[resultList.size()];

        for (int i = 0; i < resultList.size(); i++) {
            inputAggregated[i] = resultList.get(i);
        }

        DescriptiveStatistics statAggregated = new DescriptiveStatistics(inputAggregated);
        double aggregatedResult = statAggregated.getPopulationVariance();

        aggregatedResultMap.put(set, aggregatedResult);
    }

    for (WellSetInteger plate : setArrayIndices) {

        double result = Precision.round(aggregatedResultMap.get(plate), precision);
        double returned = Precision.round(aggregatedReturnedMap.get(plate), precision);

        assertTrue(result == returned);
    }
}

---

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

/**
 * Tests the aggregated plate statistics method using the values between the indices.
 *//*  w w w .  j  av  a 2 s.com*/
@Test
public void testAggregatedPlateIndices() {

    for (PlateDouble plate : arrayIndices) {

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

        List<Double> resultList = new ArrayList<Double>();
        double aggregatedReturned = Precision.round(variance.platesAggregated(plate, begin, end - begin),
                precision);

        for (WellDouble well : plate) {
            resultList.addAll(well.data().subList(begin, end));
        }

        double[] inputAggregated = new double[resultList.size()];

        for (int i = 0; i < resultList.size(); i++) {
            inputAggregated[i] = resultList.get(i);
        }

        DescriptiveStatistics statAggregated = new DescriptiveStatistics(inputAggregated);
        double aggregatedResult = Precision.round(statAggregated.getPopulationVariance(), precision);

        assertTrue(aggregatedResult == aggregatedReturned);
    }
}

---

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

/**
 * Tests the aggregated plate statistics method using the values between the indices.
 *///from w w  w . ja  v a2 s . c  o  m
@Test
public void testAggregatedSetIndices() {

    for (PlateDouble plate : arrayIndices) {

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

        List<Double> resultList = new ArrayList<Double>();
        double aggregatedReturned = Precision
                .round(variance.setsAggregated(plate.dataSet(), begin, end - begin), precision);

        for (WellDouble well : plate) {
            resultList.addAll(well.data().subList(begin, end));
        }

        double[] inputAggregated = new double[resultList.size()];

        for (int i = 0; i < resultList.size(); i++) {
            inputAggregated[i] = resultList.get(i);
        }

        DescriptiveStatistics statAggregated = new DescriptiveStatistics(inputAggregated);
        double resultAggregated = Precision.round(statAggregated.getPopulationVariance(), precision);

        assertTrue(resultAggregated == aggregatedReturned);
    }
}

---

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

/**
 * Tests the aggregated plate statistics method using the values between the indices of
 * the array.//  w  w w.j av a 2s.c o  m
 */
@Test
public void testAggregatedSetArrayIndices() {

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

    WellSetDouble[] setArrayIndices = new WellSetDouble[arrayIndices.length];

    for (int i = 0; i < setArrayIndices.length; i++) {
        setArrayIndices[i] = arrayIndices[i].dataSet();
    }

    Map<WellSetDouble, Double> aggregatedReturnedMap = variance.setsAggregated(setArrayIndices, begin,
            end - begin);
    Map<WellSetDouble, Double> aggregatedResultMap = new TreeMap<WellSetDouble, Double>();

    for (WellSetDouble set : setArrayIndices) {

        List<Double> resultList = new ArrayList<Double>();

        for (WellDouble well : set) {
            resultList.addAll(well.data().subList(begin, end));
        }

        double[] inputAggregated = new double[resultList.size()];

        for (int i = 0; i < resultList.size(); i++) {
            inputAggregated[i] = resultList.get(i);
        }

        DescriptiveStatistics statAggregated = new DescriptiveStatistics(inputAggregated);
        double aggregatedResult = statAggregated.getPopulationVariance();

        aggregatedResultMap.put(set, aggregatedResult);
    }

    for (WellSetDouble plate : setArrayIndices) {

        double result = Precision.round(aggregatedResultMap.get(plate), precision);
        double returned = Precision.round(aggregatedReturnedMap.get(plate), precision);

        assertTrue(result == returned);
    }
}

---

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

/**
 * Tests well calculation using indices.
 *///w ww  .j a  v  a  2 s  . c o m
@Test
public void testWellIndices() {

    for (Plate plate : arrayIndices) {

        for (Well 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.microflex.stat.statinteger.PopulationVarianceIntegerTest.java

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

    for (PlateInteger plate : arrayIndices) {

        for (WellInteger 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);
        }
    }
}

---

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