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

Introduction

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

Prototype

public double getMean() 

Source Link

Document

Returns the <a href="http://www.xycoon.com/arithmetic_mean.htm"> arithmetic mean </a> of the available values

Usage

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

/**
 * Tests the aggregated plate statistics method using the values between the indices.
 *///from   www . j av a 2s.  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 = mean.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.getMean();

        BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble, mc);

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

---

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

/**
 * Tests the aggregated plate statistics method using the values between the indices.
 *//*from   w w  w  . ja  v a 2 s. c  om*/
@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 = mean.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.getMean();

        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.MeanBigDecimalWeightsTest.java

/**
 * Tests the aggregated plate statistics method using the values between the indices.
 *//*from  ww w . j  av 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 = mean.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.getMean();

        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.MeanBigDecimalWeightsTest.java

/**
 * Tests well calculation using indices.
 *//*from ww  w .  j a v a  2 s  .  co  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.getMean();

            BigDecimal returned = mean.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.MeanWeightsTest.java

/**
 * Tests the aggregated plate statistics method using the values between the indices.
 *//*  www  .  ja  va 2 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 = mean.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.getMean();

        BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble, mc);

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

---

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

/**
 * Tests well calculation using indices.
 *//*from   w  w w.  java  2  s. c om*/
@Test
public void testWellIndices() {

    for (Plate plate : arrayIndices) {

        for (Well 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.getMean();

            BigDecimal returned = mean.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.statbiginteger.MeanBigIntegerWeightsTest.java

/**
 * Tests the aggregated plate statistics method using a collection.
 *///from  w  ww.  j a v a 2  s.  c o m
@Test
public void testAggregatedPlateCollection() {

    List<PlateBigInteger> collection = Arrays.asList(array);
    Map<PlateBigInteger, BigDecimal> aggregatedReturnedMap = mean.platesAggregated(collection, weights, mc);
    Map<PlateBigInteger, BigDecimal> aggregatedResultMap = new TreeMap<PlateBigInteger, BigDecimal>();

    for (PlateBigInteger plate : collection) {

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

        for (WellBigInteger well : plate) {

            List<BigDecimal> input = well.toBigDecimal();

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

        BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble, mc);
        aggregatedResultMap.put(plate, aggregatedResult);
    }

    for (PlateBigInteger plate : collection) {

        BigDecimal result = aggregatedResultMap.get(plate);
        BigDecimal returned = aggregatedReturnedMap.get(plate);

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

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

---

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

/**
 * Tests the aggregated plate statistics method using an array.
 *///from  w ww  .  j  ava 2  s . c  o  m
@Test
public void testAggregatedPlateArray() {

    Map<PlateBigInteger, BigDecimal> aggregatedReturnedMap = mean.platesAggregated(array, weights, mc);
    Map<PlateBigInteger, BigDecimal> aggregatedResultMap = new TreeMap<PlateBigInteger, BigDecimal>();

    for (PlateBigInteger plate : array) {

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

        for (WellBigInteger well : plate) {

            List<BigDecimal> input = well.toBigDecimal();

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

        BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble, mc);
        aggregatedResultMap.put(plate, aggregatedResult);
    }

    for (PlateBigInteger plate : array) {

        BigDecimal result = aggregatedResultMap.get(plate);
        BigDecimal returned = aggregatedReturnedMap.get(plate);

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

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

}

---

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

/**
 * Tests the aggregated plate statistics method using a collection.
 *//*from   w  w  w . jav  a2 s . c o  m*/
@Test
public void testAggregatedPlateCollection() {

    List<Plate> collection = Arrays.asList(array);
    Map<Plate, BigDecimal> aggregatedReturnedMap = mean.platesAggregated(collection, weights, mc);
    Map<Plate, BigDecimal> aggregatedResultMap = new TreeMap<Plate, BigDecimal>();

    for (Plate plate : collection) {

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

        for (Well well : plate) {

            List<BigDecimal> input = well.toBigDecimal();

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

        BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble, mc);
        aggregatedResultMap.put(plate, aggregatedResult);
    }

    for (Plate plate : collection) {

        BigDecimal result = aggregatedResultMap.get(plate);
        BigDecimal returned = aggregatedReturnedMap.get(plate);

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

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

---

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

/**
 * Tests the aggregated plate statistics method using an array.
 *//*from  w w w .j a  va2 s  .  c om*/
@Test
public void testAggregatedPlateArray() {

    Map<Plate, BigDecimal> aggregatedReturnedMap = mean.platesAggregated(array, weights, mc);
    Map<Plate, BigDecimal> aggregatedResultMap = new TreeMap<Plate, BigDecimal>();

    for (Plate plate : array) {

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

        for (Well well : plate) {

            List<BigDecimal> input = well.toBigDecimal();

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

        BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble, mc);
        aggregatedResultMap.put(plate, aggregatedResult);
    }

    for (Plate plate : array) {

        BigDecimal result = aggregatedResultMap.get(plate);
        BigDecimal returned = aggregatedReturnedMap.get(plate);

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

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

}

---

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