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

Introduction

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

Prototype

public double getVariance() 

Source Link

Document

Returns the (sample) variance of the available values.

Usage

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

/**
 * Tests the aggregated plate statistics method using a collection.
 *//*  ww w . j a va2  s. co m*/
@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.getVariance();

        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.SampleVarianceDoubleTest.java

/**
 * Tests the aggregated plate statistics method using an array.
 *///from  www . ja v  a2  s  . c om
@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.getVariance();

        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.SampleVarianceTest.java

/**
 * Tests the aggregated plate statistics method using the values between the indices of
 * the array./* www  .java  2 s. c o 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.getVariance();

        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.SampleVarianceTest.java

/**
 * Tests the aggregated plate statistics method.
 *//*from   ww  w.j  a  v  a  2 s.co m*/
@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.getVariance(), precision);

        assertTrue(resultAggregated == aggregatedReturned);
    }
}

---

From source file:com.github.jessemull.microflexinteger.stat.SampleVarianceTest.java

/**
 * Tests the aggregated plate statistics method using the values between the indices of
 * the collection.//from   w  w  w .  j  a v a  2  s .com
 */
@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.getVariance();

        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.SampleVarianceTest.java

/**
 * Tests the aggregated plate statistics method.
 *///  ww  w.ja va 2 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.getVariance(), precision);

        assertTrue(resultAggregated == aggregatedReturned);
    }
}

---

From source file:com.github.jessemull.microflexinteger.stat.SampleVarianceTest.java

/**
 * Tests the aggregated plate statistics method using a collection.
 *//*  w w  w.  j a v 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.getVariance();

        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.SampleVarianceTest.java

/**
 * Tests the aggregated plate statistics method.
 *///  w ww  .jav  a  2 s . c  o  m
@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.getVariance(), precision);

        assertTrue(resultAggregated == aggregatedReturned);
    }
}

---

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

/**
 * Tests the aggregated plate statistics method using the values between the indices of
 * the collection.// w  w  w .  j a  v  a 2s. com
 */
@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.getVariance();

        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.microflexdouble.stat.SampleVarianceTest.java

/**
 * Tests the aggregated plate statistics method.
 *//*from w w w  .j  av  a2s  .com*/
@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.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.getVariance(), precision);

        assertTrue(resultAggregated == aggregatedReturned);
    }
}

---

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