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.SampleVarianceDoubleWeightsTest.java

/**
 * Tests the aggregated plate statistics method using the values between the indices.
 *//*from www.j a v a 2s.  c om*/
@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(variance.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.getVariance(), precision);

        assertTrue(resultAggregated == aggregatedReturned);
    }
}

---

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

/**
 * Tests the aggregated plate statistics method using the values between the indices of
 * the collection.//from ww w .java  2 s  .  c o 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 = variance.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.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.statdouble.SampleVarianceDoubleWeightsTest.java

/**
 * Tests the aggregated plate statistics method using the values between the indices of
 * the array.//from w  w  w . j  ava2  s.c  om
 */
@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 = variance.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.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.microflex.stat.statinteger.SampleVarianceIntegerWeightsTest.java

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

    for (PlateInteger plate : arrayIndices) {

        for (WellInteger well : plate) {

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

            for (double db : well) {
                input[index] = db * weightsIndices[index];
                index++;
            }

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

            DescriptiveStatistics stat = new DescriptiveStatistics(ArrayUtils.subarray(input, begin, end));
            double result = Precision.round(stat.getVariance(), precision);
            double returned = Precision.round(
                    variance.well(well, ArrayUtils.subarray(weightsIndices, begin, end), begin, end - begin),
                    precision);

            assertTrue(result == returned);
        }
    }
}

---

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

/**
 * Tests set calculation using indices.//from   w w  w . j  a  va  2 s . c  om
 */
@Test
public void testSetIndices() {

    for (Plate 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<Well, BigDecimal> resultMap = new TreeMap<Well, BigDecimal>();
        Map<Well, BigDecimal> returnedMap = variance.set(plate.dataSet(), begin, end - begin, mc);

        for (Well well : plate) {

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

            for (BigInteger bi : well) {
                input[index++] = bi.doubleValue();
            }

            double[] inputArray = ArrayUtils.subarray(input, begin, end);

            DescriptiveStatistics stat = new DescriptiveStatistics(inputArray);
            double resultDouble = stat.getVariance();

            BigDecimal result = new BigDecimal(resultDouble);

            resultMap.put(well, result);
        }

        for (Well well : plate) {

            BigDecimal result = resultMap.get(well);
            BigDecimal returned = returnedMap.get(well);

            BigDecimal[] corrected = correctRoundingErrors(result, returned);

            assertEquals(corrected[0], corrected[1]);
        }
    }
}

---

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

/**
 * Tests well calculation using indices.
 */// w  ww.ja v  a2s . 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 db : well) {
                input[index] = db * weightsIndices[index];
                index++;
            }

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

            DescriptiveStatistics stat = new DescriptiveStatistics(ArrayUtils.subarray(input, begin, end));
            double result = Precision.round(stat.getVariance(), precision);
            double returned = Precision.round(
                    variance.well(well, ArrayUtils.subarray(weightsIndices, begin, end), begin, end - begin),
                    precision);

            assertTrue(result == returned);
        }
    }
}

---

From source file:com.github.jessemull.microflex.stat.statbiginteger.SampleVarianceBigIntegerTest.java

/**
 * Tests set calculation using indices./*from w  w  w .  j a  v  a  2  s  .  co  m*/
 */
@Test
public void testSetIndices() {

    for (PlateBigInteger 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<WellBigInteger, BigDecimal> resultMap = new TreeMap<WellBigInteger, BigDecimal>();
        Map<WellBigInteger, BigDecimal> returnedMap = variance.set(plate.dataSet(), begin, end - begin, mc);

        for (WellBigInteger well : plate) {

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

            for (BigInteger bi : well) {
                input[index++] = bi.doubleValue();
            }

            double[] inputArray = ArrayUtils.subarray(input, begin, end);

            DescriptiveStatistics stat = new DescriptiveStatistics(inputArray);
            double resultDouble = stat.getVariance();

            BigDecimal result = new BigDecimal(resultDouble);

            resultMap.put(well, result);
        }

        for (WellBigInteger well : plate) {

            BigDecimal result = resultMap.get(well);
            BigDecimal returned = returnedMap.get(well);

            BigDecimal[] corrected = correctRoundingErrors(result, returned);

            assertEquals(corrected[0], corrected[1]);
        }
    }
}

---

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

/**
 * Tests well calculation using indices.
 *///ww  w  .j  a  v  a  2s .  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 db : well) {
                input[index] = db * weightsIndices[index];
                index++;
            }

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

            DescriptiveStatistics stat = new DescriptiveStatistics(ArrayUtils.subarray(input, begin, end));
            double result = Precision.round(stat.getVariance(), precision);
            double returned = Precision.round(
                    variance.well(well, ArrayUtils.subarray(weightsIndices, begin, end), begin, end - begin),
                    precision);

            assertTrue(result == returned);
        }
    }
}

---

From source file:com.github.jessemull.microflex.stat.statbigdecimal.SampleVarianceBigDecimalTest.java

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

    for (PlateBigDecimal plate : array) {

        List<BigDecimal> resultList = new ArrayList<BigDecimal>();
        BigDecimal aggregatedReturned = variance.platesAggregated(plate, mc);

        for (WellBigDecimal 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.getVariance();

        BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble);

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

---

From source file:com.github.jessemull.microflex.stat.statbigdecimal.SampleVarianceBigDecimalTest.java

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

    for (PlateBigDecimal plate : array) {

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

        for (WellBigDecimal 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.getVariance();

        BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble);

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

---

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