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

List of usage examples for org.apache.commons.math3.stat.descriptive DescriptiveStatistics getSum

Introduction

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

Prototype

public double getSum() 

Source Link

Document

Returns the sum of the values that have been added to Univariate.

Usage

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

/**
 * Tests the aggregated plate statistics method using the values between the indices.
 *//*from  w w  w  .  java2  s.  co 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>();
        BigDecimal aggregatedReturned = sum.platesAggregated(plate, weightsIndices, begin, end - begin, mc);

        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 resultAggregatedDouble = statAggregated.getSum();

        BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble, mc);

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

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

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

    for (PlateBigInteger plate : arrayIndices) {

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

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

        for (WellBigInteger 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 resultAggregatedDouble = statAggregated.getSum();

        BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble, mc);

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

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

/**
 * Tests well calculation using indices.
 *//*from ww w.  j  a va 2s.c  o 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.getSum();

            BigDecimal returned = sum.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]);
        }
    }
}

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

/**
 * Tests the aggregated plate statistics method using the values between the indices.
 *//*  w  ww  .j av a2 s  .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>();
        BigDecimal aggregatedReturned = sum.setsAggregated(plate.dataSet(), weightsIndices, begin, end - begin,
                mc);

        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 resultAggregatedDouble = statAggregated.getSum();

        BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble, mc);

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

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

/**
 * Tests well calculation using indices.
 *///ww  w . ja  v  a  2s.  c om
@Test
public void testWellIndices() {

    for (Plate plate : arrayIndices) {

        for (Well 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.getSum();

            BigDecimal returned = sum.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]);
        }
    }
}

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

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

    for (PlateBigDecimal plate : arrayIndices) {

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

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

        for (WellBigDecimal well : plate) {

            List<BigDecimal> input = well.data().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 resultAggregatedDouble = statAggregated.getSum();

        BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble, mc);

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

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

/**
 * Tests the aggregated plate statistics method using the values between the indices.
 *///w  w  w.ja va 2  s  .co  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>();
        BigDecimal aggregatedReturned = sum.platesAggregated(plate, weightsIndices, begin, end - begin, mc);

        for (Well well : plate) {

            List<BigDecimal> input = well.data().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 resultAggregatedDouble = statAggregated.getSum();

        BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble, mc);

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

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

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

    for (PlateBigDecimal plate : arrayIndices) {

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

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

        for (WellBigDecimal well : plate) {

            List<BigDecimal> input = well.data().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 resultAggregatedDouble = statAggregated.getSum();

        BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble, mc);

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

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

/**
 * Tests well calculation using indices.
 *//*w  ww .j a  va2s  .  c  o m*/
@Test
public void testWellIndices() {

    for (PlateBigDecimal plate : arrayIndices) {

        for (WellBigDecimal well : plate) {

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

            for (BigDecimal bd : well) {
                input[index] = bd.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.getSum();

            BigDecimal returned = sum.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]);
        }
    }
}

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

/**
 * Tests the aggregated plate statistics method using the values between the indices.
 *//*from w  w  w  .  ja  va2  s  . c  om*/
@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>();
        BigDecimal aggregatedReturned = sum.setsAggregated(plate.dataSet(), weightsIndices, begin, end - begin,
                mc);

        for (Well well : plate) {

            List<BigDecimal> input = well.data().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 resultAggregatedDouble = statAggregated.getSum();

        BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble, mc);

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