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

Introduction

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

Prototype

public DescriptiveStatistics(DescriptiveStatistics original) throws NullArgumentException 

Source Link

Document

Copy constructor.

Usage

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

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

    for (Plate plate : arrayIndices) {

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

        Map<Well, BigDecimal> resultMap = new TreeMap<Well, BigDecimal>();
        Map<Well, BigDecimal> returnedMap = mean.plate(plate, ArrayUtils.subarray(weightsIndices, begin, end),
                begin, end - begin, mc);

        for (Well well : plate) {

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

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

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

            BigDecimal result = new BigDecimal(resultDouble, mc);

            resultMap.put(well, result);
        }

        for (Well 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.microflexbiginteger.stat.PopulationVarianceTest.java

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

    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);

        Map<Well, BigDecimal> resultMap = new TreeMap<Well, BigDecimal>();
        Map<Well, BigDecimal> returnedMap = variance.plate(plate, begin, end - begin, mc);

        for (Well well : plate) {

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

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

            double[] inputArray = ArrayUtils.subarray(input, begin, end);

            DescriptiveStatistics stat = new DescriptiveStatistics(inputArray);
            double resultDouble = stat.getVariance();
            resultDouble *= inputArray.length - 1;
            resultDouble /= inputArray.length;

            BigDecimal result = new BigDecimal(resultDouble);

            resultMap.put(well, result);
        }

        for (Well 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.MaxBigIntegerTest.java

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

    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);

        Map<WellBigInteger, BigDecimal> resultMap = new TreeMap<WellBigInteger, BigDecimal>();
        Map<WellBigInteger, BigDecimal> returnedMap = max.plate(plate, begin, end - begin);

        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.getMax();

            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.MinBigIntegerTest.java

/**
 * Tests the plate statistics method using the values between the indices.
 *///  w ww .j av  a2  s  .co  m
@Test
public void testPlateIndices() {

    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);

        Map<WellBigInteger, BigDecimal> resultMap = new TreeMap<WellBigInteger, BigDecimal>();
        Map<WellBigInteger, BigDecimal> returnedMap = min.plate(plate, begin, end - begin);

        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.getMin();

            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.statbigdecimal.NBigDecimalTest.java

/**
 * Tests the aggregated plate statistics method using a collection.
 *//*from w  w w .  j a va2  s .  c  o  m*/
@Test
public void testAggregatedPlateCollection() {

    List<PlateBigDecimal> collection = Arrays.asList(array);
    Map<PlateBigDecimal, Integer> aggregatedReturnedMap = n.platesAggregated(collection);
    Map<PlateBigDecimal, Integer> aggregatedResultMap = new TreeMap<PlateBigDecimal, Integer>();

    for (PlateBigDecimal plate : collection) {

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

        for (WellBigDecimal well : plate) {

            for (BigDecimal bd : well) {
                resultList.add(bd.doubleValue());
            }

        }

        double[] inputAggregated = new double[resultList.size()];

        for (int i = 0; i < resultList.size(); i++) {
            inputAggregated[i] = resultList.get(i);
        }

        DescriptiveStatistics statAggregated = new DescriptiveStatistics(inputAggregated);
        double resultAggregated = statAggregated.getN();

        aggregatedResultMap.put(plate, (int) resultAggregated);
    }

    for (PlateBigDecimal plate : collection) {

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

        assertEquals(result, returned);
    }
}

---

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

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

    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);

        Map<WellBigInteger, BigDecimal> resultMap = new TreeMap<WellBigInteger, BigDecimal>();
        Map<WellBigInteger, BigDecimal> returnedMap = sum.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.getSum();

            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.microflexbiginteger.stat.SumOfSquaresWeightsTest.java

/**
 * Tests the plate statistics method using the values between the indices.
 *///ww w.ja v a  2s.com
@Test
public void testPlateIndices() {

    for (Plate plate : arrayIndices) {

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

        Map<Well, BigDecimal> resultMap = new TreeMap<Well, BigDecimal>();
        Map<Well, BigDecimal> returnedMap = sum.plate(plate, ArrayUtils.subarray(weightsIndices, begin, end),
                begin, end - begin, mc);

        for (Well well : plate) {

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

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

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

            BigDecimal result = new BigDecimal(resultDouble, mc);

            resultMap.put(well, result);
        }

        for (Well 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.NBigIntegerTest.java

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

    List<PlateBigInteger> collection = Arrays.asList(array);
    Map<PlateBigInteger, Integer> aggregatedReturnedMap = n.platesAggregated(collection);
    Map<PlateBigInteger, Integer> aggregatedResultMap = new TreeMap<PlateBigInteger, Integer>();

    for (PlateBigInteger plate : collection) {

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

        for (WellBigInteger well : plate) {

            for (BigInteger bi : well) {
                resultList.add(bi.doubleValue());
            }

        }

        double[] inputAggregated = new double[resultList.size()];

        for (int i = 0; i < resultList.size(); i++) {
            inputAggregated[i] = resultList.get(i);
        }

        DescriptiveStatistics statAggregated = new DescriptiveStatistics(inputAggregated);
        double resultAggregated = statAggregated.getN();

        aggregatedResultMap.put(plate, (int) resultAggregated);
    }

    for (PlateBigInteger plate : collection) {

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

        assertEquals(result, returned);
    }
}

---

From source file:com.vsthost.rnd.commons.math.ext.linear.EMatrixUtils.java

/**
 * Returns the standard deviations of columns.
 *
 * @param matrix The matrix of which the standard deviations of columns to be computed
 * @return A double array of column standard deviations.
 *//* ww w  . jav a 2s  .co  m*/
public static double[] columnStdDevs(RealMatrix matrix) {
    double[] retval = new double[matrix.getColumnDimension()];
    for (int i = 0; i < retval.length; i++) {
        retval[i] = new DescriptiveStatistics(matrix.getColumn(i)).getStandardDeviation();
    }
    return retval;
}

---

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

/**
 * Tests the plate statistics method using the values between the indices.
 *//* w w  w  .  ja va2 s  . c o m*/
@Test
public void testPlateIndices() {

    for (PlateBigInteger plate : arrayIndices) {

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

            BigDecimal result = new BigDecimal(resultDouble, mc);

            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]);
        }
    }
}

---

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