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.microflexinteger.stat.PopulationVarianceTest.java

/**
 * Tests the aggregated plate statistics method using the values between the indices of
 * the array./*from   www.j a  v  a2s . co  m*/
 */
@Test
public void testAggregatedPlateArrayIndices() {

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

    Map<Plate, Double> aggregatedReturnedMap = variance.platesAggregated(arrayIndices, begin, end - begin);
    Map<Plate, Double> aggregatedResultMap = new TreeMap<Plate, Double>();

    for (Plate plate : arrayIndices) {

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

        for (Well 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 = statAggregated.getPopulationVariance();

        aggregatedResultMap.put(plate, aggregatedResult);
    }

    for (Plate plate : arrayIndices) {

        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 a collection.
 *//*from  www . j  ava2 s .c om*/
@Test
public void testAggregatedPlateCollection() {

    List<PlateDouble> collection = Arrays.asList(array);
    Map<PlateDouble, Double> aggregatedReturnedMap = variance.platesAggregated(collection);
    Map<PlateDouble, Double> aggregatedResultMap = new TreeMap<PlateDouble, Double>();

    for (PlateDouble plate : collection) {

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

        for (WellDouble well : plate) {
            resultList.addAll(well.data());
        }

        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(plate, aggregatedResult);
    }

    for (PlateDouble plate : collection) {

        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 an array.
 *///from  ww w  .j  a v a2s  . c  o m
@Test
public void testAggregatedPlateArray() {

    Map<PlateDouble, Double> aggregatedReturnedMap = variance.platesAggregated(array);
    Map<PlateDouble, Double> aggregatedResultMap = new TreeMap<PlateDouble, Double>();

    for (PlateDouble plate : array) {

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

        for (WellDouble well : plate) {
            resultList.addAll(well.data());
        }

        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(plate, aggregatedResult);
    }

    for (PlateDouble plate : array) {

        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 the aggregated plate statistics method using the values between the indices of
 * the array.//ww w  .jav a  2 s. co m
 */
@Test
public void testAggregatedPlateArrayIndices() {

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

    Map<Plate, Double> aggregatedReturnedMap = variance.platesAggregated(arrayIndices, begin, end - begin);
    Map<Plate, Double> aggregatedResultMap = new TreeMap<Plate, Double>();

    for (Plate plate : arrayIndices) {

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

        for (Well 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 = statAggregated.getPopulationVariance();

        aggregatedResultMap.put(plate, aggregatedResult);
    }

    for (Plate plate : arrayIndices) {

        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.microflexinteger.stat.PopulationVarianceTest.java

/**
 * Tests the aggregated plate statistics method.
 *///w  w  w  .jav  a2s . c om
@Test
public void testAggregatedPlate() {

    for (Plate plate : array) {

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

        for (Well well : plate) {
            resultList.addAll(well.toDouble());
        }

        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.microflexinteger.stat.PopulationVarianceTest.java

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

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

    List<Plate> collection = Arrays.asList(arrayIndices);
    Map<Plate, Double> aggregatedReturnedMap = variance.platesAggregated(collection, begin, end - begin);

    Map<Plate, Double> aggregatedResultMap = new TreeMap<Plate, Double>();

    for (Plate plate : collection) {

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

        for (Well 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 = statAggregated.getPopulationVariance();

        aggregatedResultMap.put(plate, resultAggregated);
    }

    for (Plate plate : collection) {

        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.microflexinteger.stat.PopulationVarianceTest.java

/**
 * Tests the aggregated plate statistics method.
 *//* ww w.  j  av  a2  s .  c  o  m*/
@Test
public void testAggregatedSet() {

    for (Plate plate : array) {

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

        for (Well well : plate) {
            resultList.addAll(well.toDouble());
        }

        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.microflexinteger.stat.PopulationVarianceTest.java

/**
 * Tests the aggregated plate statistics method using a collection.
 *//*w w w .  jav  a  2 s  . c om*/
@Test
public void testAggregatedSetCollection() {

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

    for (Plate plate : array) {
        collection.add(plate.dataSet());
    }

    Map<WellSet, Double> aggregatedReturnedMap = variance.setsAggregated(collection);
    Map<WellSet, Double> aggregatedResultMap = new TreeMap<WellSet, Double>();

    for (WellSet set : collection) {

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

        for (Well well : set) {
            resultList.addAll(well.toDouble());
        }

        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 (WellSet 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.microflexdouble.stat.PopulationVarianceTest.java

/**
 * Tests the aggregated plate statistics method.
 *//*from  w  w  w. j  a  v a  2  s  .  c om*/
@Test
public void testAggregatedPlate() {

    for (Plate plate : array) {

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

        for (Well well : plate) {
            resultList.addAll(well.data());
        }

        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.microflexdouble.stat.PopulationVarianceTest.java

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

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

    List<Plate> collection = Arrays.asList(arrayIndices);
    Map<Plate, Double> aggregatedReturnedMap = variance.platesAggregated(collection, begin, end - begin);

    Map<Plate, Double> aggregatedResultMap = new TreeMap<Plate, Double>();

    for (Plate plate : collection) {

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

        for (Well 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 = statAggregated.getPopulationVariance();

        aggregatedResultMap.put(plate, resultAggregated);
    }

    for (Plate plate : collection) {

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

        assertTrue(result == returned);
    }
}

---

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