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

Introduction

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

Prototype

public double getSumsq() 

Source Link

Document

Returns the sum of the squares of the available values.

Usage

From source file:com.github.jessemull.microflexbigdecimal.stat.SumOfSquaresTest.java

/**
 * Tests the aggregated plate statistics method.
 *//* w  w  w.  jav  a  2 s .c  o m*/
@Test
public void testAggregatedSet() {

    for (Plate plate : array) {

        List<BigDecimal> resultList = new ArrayList<BigDecimal>();
        BigDecimal aggregatedReturned = sum.setsAggregated(plate.dataSet(), mc);

        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).doubleValue();
        }

        DescriptiveStatistics statAggregated = new DescriptiveStatistics(inputAggregated);
        double resultAggregatedDouble = statAggregated.getSumsq();

        BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble);

        BigDecimal[] corrected = correctRoundingErrors(aggregatedResult, aggregatedReturned);
        assertEquals(corrected[0], corrected[1]);
    }
}

---

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

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

    for (Plate plate : arrayIndices) {

        int begin = random.nextInt(plate.first().size() - 4);
        int end = begin + random.nextInt(3) + 3;

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

        for (Well well : plate) {

            List<BigDecimal> input = well.toBigDecimal().subList(begin, end);

            for (int i = 0; i < input.size(); i++) {
                resultList.add(input.get(i).multiply(new BigDecimal(weightsIndices[i])));
            }

        }

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

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

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

        assertTrue(resultAggregated == aggregatedReturned);
    }
}

---

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

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

    for (Plate plate : arrayIndices) {

        int begin = random.nextInt(plate.first().size() - 4);
        int end = begin + random.nextInt(3) + 3;

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

        for (Well well : plate) {

            List<BigDecimal> input = well.toBigDecimal().subList(begin, end);

            for (int i = 0; i < input.size(); i++) {
                resultList.add(input.get(i).multiply(new BigDecimal(weightsIndices[i])));
            }

        }

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

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

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

        assertTrue(resultAggregated == aggregatedReturned);
    }
}

---

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

/**
 * Tests the aggregated plate statistics method using the values between the indices of
 * the collection.//from w  w w  . j  ava  2 s  .  co  m
 */
@Test
public void testAggregatedSetCollectionIndices() {

    int begin = random.nextInt(arrayIndices[0].first().size() - 4);
    int end = begin + random.nextInt(3) + 3;

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

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

    Map<WellSet, Double> aggregatedReturnedMap = sum.setsAggregated(collection, weightsIndices, begin,
            end - begin);
    Map<WellSet, Double> aggregatedResultMap = new TreeMap<WellSet, Double>();

    for (WellSet set : collection) {

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

        for (Well well : set) {

            List<BigDecimal> input = well.toBigDecimal().subList(begin, end);

            for (int i = 0; i < input.size(); i++) {
                resultList.add(input.get(i).multiply(new BigDecimal(weightsIndices[i])));
            }

        }

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

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

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

        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.SumOfSquaresWeightsTest.java

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

    int begin = random.nextInt(arrayIndices[0].first().size() - 4);
    int end = begin + random.nextInt(3) + 3;

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

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

    Map<WellSet, Double> aggregatedReturnedMap = sum.setsAggregated(setArrayIndices, weightsIndices, begin,
            end - begin);
    Map<WellSet, Double> aggregatedResultMap = new TreeMap<WellSet, Double>();

    for (WellSet set : setArrayIndices) {

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

        for (Well well : set) {

            List<BigDecimal> input = well.toBigDecimal().subList(begin, end);

            for (int i = 0; i < input.size(); i++) {
                resultList.add(input.get(i).multiply(new BigDecimal(weightsIndices[i])));
            }

        }

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

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

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

        aggregatedResultMap.put(set, aggregatedResult);
    }

    for (WellSet 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.SumOfSquaresDoubleWeightsTest.java

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

    for (PlateDouble plate : arrayIndices) {

        int begin = random.nextInt(plate.first().size() - 4);
        int end = begin + random.nextInt(3) + 3;

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

        for (WellDouble well : plate) {

            List<BigDecimal> input = well.toBigDecimal().subList(begin, end);

            for (int i = 0; i < input.size(); i++) {
                resultList.add(input.get(i).multiply(new BigDecimal(weightsIndices[i])));
            }

        }

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

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

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

        assertTrue(resultAggregated == aggregatedReturned);
    }
}

---

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

/**
 * Tests the aggregated plate statistics method using the values between the indices.
 *//*from   www . j a va 2  s .  c  o  m*/
@Test
public void testAggregatedSetIndices() {

    for (PlateDouble plate : arrayIndices) {

        int begin = random.nextInt(plate.first().size() - 4);
        int end = begin + random.nextInt(3) + 3;

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

        for (WellDouble well : plate) {

            List<BigDecimal> input = well.toBigDecimal().subList(begin, end);

            for (int i = 0; i < input.size(); i++) {
                resultList.add(input.get(i).multiply(new BigDecimal(weightsIndices[i])));
            }

        }

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

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

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

        assertTrue(resultAggregated == aggregatedReturned);
    }
}

---

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

/**
 * Tests the aggregated plate statistics method using the values between the indices of
 * the collection./*from   w w  w.j  av  a  2  s  .co m*/
 */
@Test
public void testAggregatedSetCollectionIndices() {

    int begin = random.nextInt(arrayIndices[0].first().size() - 4);
    int end = begin + random.nextInt(3) + 3;

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

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

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

    for (WellSetDouble set : collection) {

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

        for (WellDouble well : set) {

            List<BigDecimal> input = well.toBigDecimal().subList(begin, end);

            for (int i = 0; i < input.size(); i++) {
                resultList.add(input.get(i).multiply(new BigDecimal(weightsIndices[i])));
            }

        }

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

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

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

        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.statdouble.SumOfSquaresDoubleWeightsTest.java

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

    int begin = random.nextInt(arrayIndices[0].first().size() - 4);
    int end = begin + random.nextInt(3) + 3;

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

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

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

    for (WellSetDouble set : setArrayIndices) {

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

        for (WellDouble well : set) {

            List<BigDecimal> input = well.toBigDecimal().subList(begin, end);

            for (int i = 0; i < input.size(); i++) {
                resultList.add(input.get(i).multiply(new BigDecimal(weightsIndices[i])));
            }

        }

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

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

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

        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.microflex.stat.statinteger.SumOfSquaresIntegerWeightsTest.java

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

    for (PlateInteger plate : arrayIndices) {

        int begin = random.nextInt(plate.first().size() - 4);
        int end = begin + random.nextInt(3) + 3;

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

        for (WellInteger well : plate) {

            List<BigDecimal> input = well.toBigDecimal().subList(begin, end);

            for (int i = 0; i < input.size(); i++) {
                resultList.add(input.get(i).multiply(new BigDecimal(weightsIndices[i])));
            }

        }

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

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

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

        assertTrue(resultAggregated == aggregatedReturned);
    }
}

---

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