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 the values between the indices of
 * the collection./*from  ww w .j av a 2 s .  co 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.getVariance();

        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.SampleVarianceIntegerTest.java

/**
 * Tests the aggregated plate statistics method using the values between the indices.
 *///  w w  w  .j  a va  2s.  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.getVariance(), precision);

        assertTrue(aggregatedResult == aggregatedReturned);
    }
}

---

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

/**
 * Tests the aggregated plate statistics method using the values between the indices.
 *//*from   w  w w . ja  va  2s.c  o  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.getVariance(), precision);

        assertTrue(resultAggregated == aggregatedReturned);
    }
}

---

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

/**
 * Tests the aggregated plate statistics method using the values between the indices of
 * the array./* ww  w . j  a  v  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);

    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.getVariance();

        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.SampleVarianceDoubleTest.java

/**
 * Tests the aggregated plate statistics method using the values between the indices.
 */// www .j ava2s .  c  o m
@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.getVariance(), precision);

        assertTrue(aggregatedResult == aggregatedReturned);
    }
}

---

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

/**
 * Tests the aggregated plate statistics method using the values between the indices.
 *///from  w  w  w.  ja  va  2s  .  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.getVariance(), precision);

        assertTrue(resultAggregated == aggregatedReturned);
    }
}

---

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

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

        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.SampleVarianceTest.java

/**
 * Tests well calculation using indices.
 *//* www.jav a2s .co 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.getVariance(), precision);
            double returned = Precision.round(variance.well(well, begin, end - begin), precision);

            assertTrue(result == returned);
        }
    }
}

---

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

/**
 * Tests well calculation using indices.
 *///from  ww  w  .  j ava  2  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.getVariance(), precision);
            double returned = Precision.round(variance.well(well, begin, end - begin), precision);

            assertTrue(result == returned);
        }
    }
}

---

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

/**
 * Tests well calculation using indices.
 *//*from w ww  .  ja  v a2s .  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.getVariance(), precision);
            double returned = Precision.round(variance.well(well, begin, end - begin), precision);

            assertTrue(result == returned);
        }
    }
}

---

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