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

Introduction

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

Prototype

public double getGeometricMean() 

Source Link

Document

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

Usage

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

/**
 * Tests set calculation using indices.//  w  w  w . j  av a 2 s  .c  o  m
 */
@Test
public void testSetIndices() {

    for (PlateBigDecimal plate : arrayIndices) {

        int size = arrayIndices[0].first().size();
        int begin = random.nextInt(size - 7);
        int end = begin + 3;

        Map<WellBigDecimal, BigDecimal> resultMap = new TreeMap<WellBigDecimal, BigDecimal>();
        Map<WellBigDecimal, BigDecimal> returnedMap = mean.set(plate.dataSet(), begin, end - begin, mc);

        for (WellBigDecimal well : plate) {

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

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

            DescriptiveStatistics stat = new DescriptiveStatistics(ArrayUtils.subarray(input, begin, end));
            double resultDouble = stat.getGeometricMean();

            BigDecimal result = new BigDecimal(resultDouble);

            resultMap.put(well, result);
        }

        for (WellBigDecimal 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.statbigdecimal.GeometricMeanBigDecimalTest.java

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

    int size = arrayIndices[0].first().size();
    int begin = random.nextInt(size - 7);
    int end = begin + 3;

    List<WellSetBigDecimal> collection = new ArrayList<WellSetBigDecimal>();

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

    Map<WellSetBigDecimal, BigDecimal> aggregatedReturnedMap = mean.setsAggregated(collection, begin,
            end - begin, mc);
    Map<WellSetBigDecimal, BigDecimal> aggregatedResultMap = new TreeMap<WellSetBigDecimal, BigDecimal>();

    for (WellSetBigDecimal set : collection) {

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

        for (WellBigDecimal well : set) {
            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.getGeometricMean();

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

    for (WellSetBigDecimal set : collection) {

        BigDecimal result = aggregatedResultMap.get(set);
        BigDecimal returned = aggregatedReturnedMap.get(set);
        BigDecimal[] corrected = correctRoundingErrors(result, returned);

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

---

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

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

    for (PlateBigInteger plate : arrayIndices) {

        int size = arrayIndices[0].first().size();
        int begin = random.nextInt(size - 7);
        int end = begin + 3;

        Map<WellBigInteger, BigDecimal> resultMap = new TreeMap<WellBigInteger, BigDecimal>();
        Map<WellBigInteger, BigDecimal> returnedMap = mean.plate(plate, 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();
            }

            DescriptiveStatistics stat = new DescriptiveStatistics(ArrayUtils.subarray(input, begin, end));
            double resultDouble = stat.getGeometricMean();

            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.statbiginteger.GeometricMeanBigIntegerTest.java

/**
 * Tests set calculation using indices./*from  w w w.  jav a2  s.  c  om*/
 */
@Test
public void testSetIndices() {

    for (PlateBigInteger plate : arrayIndices) {

        int size = arrayIndices[0].first().size();
        int begin = random.nextInt(size - 7);
        int end = begin + 3;

        Map<WellBigInteger, BigDecimal> resultMap = new TreeMap<WellBigInteger, BigDecimal>();
        Map<WellBigInteger, BigDecimal> returnedMap = mean.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();
            }

            DescriptiveStatistics stat = new DescriptiveStatistics(ArrayUtils.subarray(input, begin, end));
            double resultDouble = stat.getGeometricMean();

            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.statbiginteger.GeometricMeanBigIntegerTest.java

/**
 * Tests the aggregated plate statistics method using the values between the indices of
 * the collection./*from  w w w  . j a va2  s  .com*/
 */
@Test
public void testAggregatedSetCollectionIndices() {

    int size = arrayIndices[0].first().size();
    int begin = random.nextInt(size - 7);
    int end = begin + 3;

    List<WellSetBigInteger> collection = new ArrayList<WellSetBigInteger>();

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

    Map<WellSetBigInteger, BigDecimal> aggregatedReturnedMap = mean.setsAggregated(collection, begin,
            end - begin, mc);
    Map<WellSetBigInteger, BigDecimal> aggregatedResultMap = new TreeMap<WellSetBigInteger, BigDecimal>();

    for (WellSetBigInteger set : collection) {

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

        for (WellBigInteger well : set) {
            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.getGeometricMean();

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

    for (WellSetBigInteger set : collection) {

        BigDecimal result = aggregatedResultMap.get(set);
        BigDecimal returned = aggregatedReturnedMap.get(set);
        BigDecimal[] corrected = correctRoundingErrors(result, returned);

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

---

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

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

    int size = arrayIndices[0].first().size();
    int begin = random.nextInt(size - 7);
    int end = begin + 3;

    List<WellSetBigDecimal> collection = new ArrayList<WellSetBigDecimal>();

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

    WellSetBigDecimal[] array = collection.toArray(new WellSetBigDecimal[collection.size()]);

    Map<WellSetBigDecimal, BigDecimal> aggregatedReturnedMap = mean.setsAggregated(array, begin, end - begin,
            mc);
    Map<WellSetBigDecimal, BigDecimal> aggregatedResultMap = new TreeMap<WellSetBigDecimal, BigDecimal>();

    for (WellSetBigDecimal set : array) {

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

        for (WellBigDecimal well : set) {
            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.getGeometricMean();

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

    for (WellSetBigDecimal set : array) {

        BigDecimal result = aggregatedResultMap.get(set);
        BigDecimal returned = aggregatedReturnedMap.get(set);
        BigDecimal[] corrected = correctRoundingErrors(result, returned);

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

---

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

/**
 * Tests the aggregated plate statistics method using the values between the indices of
 * the array.//from   w w  w  .j a  v a2s .  c om
 */
@Test
public void testAggregatedSetArrayIndices() {

    int size = arrayIndices[0].first().size();
    int begin = random.nextInt(size - 7);
    int end = begin + 3;

    List<WellSetBigInteger> collection = new ArrayList<WellSetBigInteger>();

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

    WellSetBigInteger[] array = collection.toArray(new WellSetBigInteger[collection.size()]);

    Map<WellSetBigInteger, BigDecimal> aggregatedReturnedMap = mean.setsAggregated(array, begin, end - begin,
            mc);
    Map<WellSetBigInteger, BigDecimal> aggregatedResultMap = new TreeMap<WellSetBigInteger, BigDecimal>();

    for (WellSetBigInteger set : array) {

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

        for (WellBigInteger well : set) {
            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.getGeometricMean();

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

    for (WellSetBigInteger set : array) {

        BigDecimal result = aggregatedResultMap.get(set);
        BigDecimal returned = aggregatedReturnedMap.get(set);
        BigDecimal[] corrected = correctRoundingErrors(result, returned);

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

---

From source file:com.loadtesting.core.data.TimeSerieData.java

public TimeSerieData(String name, List<TimeSample> samples, CapturerConfig config) {
    this.name = name;
    this.unit = config.getUnit();
    this.volume = samples.size();
    if (volume > 0) {
        TimeSample first = samples.get(0);
        this.unit = first.getTimeUnit();
        this.opening = first.getTime(unit);
        TimeSample last = samples.get(volume - 1);
        this.closing = last.getTime(unit);
        this.samples = config.getFilter().filter(samples);

        DescriptiveStatistics stats = new DescriptiveStatistics(volume);
        for (TimeSample timeSample : samples) {
            stats.addValue(timeSample.getTime(unit));
        }/*from   www . ja v  a2  s.  c o  m*/
        this.high = stats.getMax();
        this.low = stats.getMin();
        this.median = (high + low) / 2;
        this.typical = (high + low + closing) / 3;
        this.weightedClose = (high + low + closing + closing) / 4;
        this.sma = stats.getMean();
        this.variance = stats.getVariance();
        this.sd = stats.getStandardDeviation();
        this.sum = stats.getSum();
        this.sumsq = stats.getSumsq();
        this.skewness = stats.getSkewness();
        this.kurtosis = stats.getKurtosis();
        this.geometricMean = stats.getGeometricMean();
        this.populationVariance = stats.getPopulationVariance();
    } else {
        this.samples = samples;
    }
}

---

From source file:com.facebook.presto.tests.AbstractTestQueries.java

@Test
public void testTableSamplePoissonized() throws Exception {
    DescriptiveStatistics stats = new DescriptiveStatistics();

    long total = (long) computeExpected("SELECT COUNT(*) FROM orders", ImmutableList.of(BIGINT))
            .getMaterializedRows().get(0).getField(0);

    for (int i = 0; i < 100; i++) {
        String value = (String) computeActual(
                "SELECT COUNT(*) FROM orders TABLESAMPLE POISSONIZED (50) APPROXIMATE AT 95 CONFIDENCE")
                        .getMaterializedRows().get(0).getField(0);
        stats.addValue(Long.parseLong(value.split(" ")[0]) * 1.0 / total);
    }/* w  w w.  j  a  v  a 2  s .c  o  m*/

    double mean = stats.getGeometricMean();
    assertTrue(mean > 0.45 && mean < 0.55, format("Expected mean sampling rate to be ~0.5, but was %s", mean));
}

---

From source file:com.facebook.presto.tests.AbstractTestQueries.java

@Test
public void testTableSampleBernoulli() throws Exception {
    DescriptiveStatistics stats = new DescriptiveStatistics();

    int total = computeExpected("SELECT orderkey FROM orders", ImmutableList.of(BIGINT)).getMaterializedRows()
            .size();//from   www. j  a v  a 2s .  co  m

    for (int i = 0; i < 100; i++) {
        List<MaterializedRow> values = computeActual("SELECT orderkey FROM ORDERS TABLESAMPLE BERNOULLI (50)")
                .getMaterializedRows();

        assertEquals(values.size(), ImmutableSet.copyOf(values).size(), "TABLESAMPLE produced duplicate rows");
        stats.addValue(values.size() * 1.0 / total);
    }

    double mean = stats.getGeometricMean();
    assertTrue(mean > 0.45 && mean < 0.55, format("Expected mean sampling rate to be ~0.5, but was %s", mean));
}

---

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