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

Introduction

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

Prototype

public double getPopulationVariance() 

Source Link

Document

Returns the <a href="http://en.wikibooks.org/wiki/Statistics/Summary/Variance"> population variance</a> of the available values.

Usage

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

/**
 * Tests the aggregated plate statistics method using the values between the indices of
 * the collection.//from  w w w . ja  v  a2  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<WellSetInteger> collection = new ArrayList<WellSetInteger>();

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

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

    for (WellSetInteger set : collection) {

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

        for (WellInteger 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.getPopulationVariance();

        aggregatedResultMap.put(set, aggregatedResult);
    }

    for (WellSetInteger 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.PopulationVarianceIntegerWeightsTest.java

/**
 * Tests the aggregated plate statistics method using the values between the indices of
 * the array./* www.ja v a  2s  .c  om*/
 */
@Test
public void testAggregatedSetArrayIndices() {

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

    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, weightsIndices,
            begin, end - begin);
    Map<WellSetInteger, Double> aggregatedResultMap = new TreeMap<WellSetInteger, Double>();

    for (WellSetInteger set : setArrayIndices) {

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

        for (WellInteger 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.getPopulationVariance();

        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.microflexdouble.stat.PopulationVarianceWeightsTest.java

/**
 * Tests well calculation using indices.
 *///from  w w w.  ja v  a2s . com
@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.getPopulationVariance(), 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.statdouble.PopulationVarianceDoubleWeightsTest.java

/**
 * Tests well calculation using indices.
 *///from   www. j a  va 2 s .c om
@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.getPopulationVariance(), 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.statinteger.PopulationVarianceIntegerWeightsTest.java

/**
 * Tests well calculation using indices.
 *///  w  ww .ja  va 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 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.getPopulationVariance(), 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.PopulationVarianceBigIntegerWeightsTest.java

/**
 * Tests well calculation.//  w ww  .j av a 2s .c o  m
 */
@Test
public void testWell() {

    for (PlateBigInteger plate : array) {

        for (WellBigInteger well : plate) {

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

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

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

            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.PopulationVarianceWeightsTest.java

/**
 * Tests well calculation./*from ww  w.  j  ava2s.  co  m*/
 */
@Test
public void testWell() {

    for (Plate plate : array) {

        for (Well well : plate) {

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

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

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

            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.microflex.stat.statbigdecimal.PopulationVarianceBigDecimalWeightsTest.java

/**
 * Tests well calculation./*from www.  j  ava  2s  .c  om*/
 */
@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.getPopulationVariance();

            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.PopulationVarianceWeightsTest.java

/**
 * Tests well calculation./*from   w  w  w .j a  v a2 s .c o 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.getPopulationVariance();

            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.microflex.stat.statbiginteger.PopulationVarianceBigIntegerWeightsTest.java

/**
 * Tests well calculation using indices.
 *///from   w w  w . ja va  2 s .co m
@Test
public void testWellIndices() {

    for (PlateBigInteger plate : arrayIndices) {

        for (WellBigInteger well : plate) {

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

            for (BigInteger bi : well) {
                input[index] = bi.doubleValue() * 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 resultDouble = stat.getPopulationVariance();

            BigDecimal returned = variance.well(well, ArrayUtils.subarray(weightsIndices, begin, end), begin,
                    end - begin, mc);
            BigDecimal result = new BigDecimal(resultDouble, mc);

            BigDecimal[] corrected = correctRoundingErrors(returned, result);
            assertEquals(corrected[0], corrected[1]);
        }
    }
}

---

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