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.statbigdecimal.PopulationVarianceBigDecimalTest.java

/**
 * Tests the aggregated plate statistics method using the values between the indices.
 *///from ww w  .  j a va2 s  .c  o  m
@Test
public void testAggregatedPlateIndices() {

    for (PlateBigDecimal 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<BigDecimal> resultList = new ArrayList<BigDecimal>();
        BigDecimal aggregatedReturned = variance.platesAggregated(plate, begin, end - begin, mc);

        for (WellBigDecimal 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).doubleValue();
        }

        DescriptiveStatistics statAggregated = new DescriptiveStatistics(inputAggregated);
        double resultAggregatedDouble = statAggregated.getVariance();
        resultAggregatedDouble *= resultList.size() - 1;
        resultAggregatedDouble /= resultList.size();

        BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble);

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

---

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

/**
 * Tests the aggregated plate statistics method using the values between the indices.
 *//*from  w  w w. j  a  v a2s.c o  m*/
@Test
public void testAggregatedSetIndices() {

    for (PlateBigDecimal 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<BigDecimal> resultList = new ArrayList<BigDecimal>();
        BigDecimal aggregatedReturned = variance.setsAggregated(plate.dataSet(), begin, end - begin, mc);

        for (WellBigDecimal 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).doubleValue();
        }

        DescriptiveStatistics statAggregated = new DescriptiveStatistics(inputAggregated);
        double resultAggregatedDouble = statAggregated.getVariance();
        resultAggregatedDouble *= resultList.size() - 1;
        resultAggregatedDouble /= resultList.size();

        BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble);

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

---

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

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

    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);

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

        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).doubleValue();
        }

        DescriptiveStatistics statAggregated = new DescriptiveStatistics(inputAggregated);
        double resultAggregatedDouble = statAggregated.getVariance();
        resultAggregatedDouble *= resultList.size() - 1;
        resultAggregatedDouble /= resultList.size();

        BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble);

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

---

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

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

    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);

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

        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).doubleValue();
        }

        DescriptiveStatistics statAggregated = new DescriptiveStatistics(inputAggregated);
        double resultAggregatedDouble = statAggregated.getVariance();
        resultAggregatedDouble *= resultList.size() - 1;
        resultAggregatedDouble /= resultList.size();

        BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble);

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

---

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

/**
 * Tests well calculation./*from   w  w  w  .  j a  va2  s .c  o  m*/
 */
@Test
public void testWell() {

    for (PlateBigDecimal plate : array) {

        for (WellBigDecimal well : plate) {

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

            for (BigDecimal bd : well) {
                input[index] = bd.doubleValue() * weights[index];
                index++;
            }

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

            BigDecimal returned = variance.well(well, weights, mc);
            BigDecimal result = new BigDecimal(resultDouble, mc);

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

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

---

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

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

    for (Plate plate : array) {

        for (Well well : plate) {

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

            for (BigDecimal bd : well) {
                input[index] = bd.doubleValue() * weights[index];
                index++;
            }

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

            BigDecimal returned = variance.well(well, weights, mc);
            BigDecimal result = new BigDecimal(resultDouble, mc);

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

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

---

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

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

    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);

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

        for (Well well : plate) {
            resultList.addAll(well.toBigDecimal().subList(begin, end));
        }

        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();
        resultAggregatedDouble *= resultList.size() - 1;
        resultAggregatedDouble /= resultList.size();

        BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble);

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

---

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

/**
 * Tests the aggregated plate statistics method using the values between the indices.
 *///from   w  w  w .j  a  v a2s . c o m
@Test
public void testAggregatedSetIndices() {

    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);

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

        for (Well well : plate) {
            resultList.addAll(well.toBigDecimal().subList(begin, end));
        }

        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();
        resultAggregatedDouble *= resultList.size() - 1;
        resultAggregatedDouble /= resultList.size();

        BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble);

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

---

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

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

    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);

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

        for (WellBigInteger well : plate) {
            resultList.addAll(well.toBigDecimal().subList(begin, end));
        }

        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();
        resultAggregatedDouble *= resultList.size() - 1;
        resultAggregatedDouble /= resultList.size();

        BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble);

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

---

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

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

    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);

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

        for (WellBigInteger well : plate) {
            resultList.addAll(well.toBigDecimal().subList(begin, end));
        }

        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();
        resultAggregatedDouble *= resultList.size() - 1;
        resultAggregatedDouble /= resultList.size();

        BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble);

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

---

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