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

Introduction

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

Prototype

public double getMin() 

Source Link

Document

Returns the minimum of the available values

Usage

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

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

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

    for (PlateBigInteger plate : collection) {

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

        for (WellBigInteger well : plate) {
            resultList.addAll(well.toBigDecimal());
        }

        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.getMin();

        BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble);
        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.MinBigIntegerTest.java

/**
 * Tests the aggregated plate statistics method using an array.
 *///  w w w. j av  a2s  . c  o  m
@Test
public void testAggregatedPlateArray() {

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

    for (PlateBigInteger plate : array) {

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

        for (WellBigInteger well : plate) {
            resultList.addAll(well.toBigDecimal());
        }

        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.getMin();

        BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble);
        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.MinTest.java

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

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

    for (Plate plate : array) {
        collection.add(plate.dataSet());
    }

    Map<WellSet, BigDecimal> aggregatedReturnedMap = min.setsAggregated(collection);
    Map<WellSet, BigDecimal> aggregatedResultMap = new TreeMap<WellSet, BigDecimal>();

    for (WellSet set : collection) {

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

        for (Well well : set) {
            resultList.addAll(well.toBigDecimal());
        }

        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.getMin();

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

    for (WellSet 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.microflexbiginteger.stat.MinTest.java

/**
 * Tests the aggregated plate statistics method using an array.
 *//*from  w w  w . j  a v a 2s  .  co  m*/
@Test
public void testAggregatedSetArray() {

    WellSet[] setArray = new WellSet[array.length];

    for (int i = 0; i < setArray.length; i++) {
        setArray[i] = array[i].dataSet();
    }

    Map<WellSet, BigDecimal> aggregatedReturnedMap = min.setsAggregated(setArray);
    Map<WellSet, BigDecimal> aggregatedResultMap = new TreeMap<WellSet, BigDecimal>();

    for (WellSet set : setArray) {

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

        for (Well well : set) {
            resultList.addAll(well.toBigDecimal());
        }

        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.getMin();

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

    for (WellSet set : setArray) {

        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.microflexbiginteger.stat.MinTest.java

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

    int size = arrayIndices[0].first().size();
    int begin = random.nextInt(size - 5);
    int end = (begin + 4) + random.nextInt(size - (begin + 4) + 1);

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

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

    Map<WellSet, BigDecimal> aggregatedReturnedMap = min.setsAggregated(collection, begin, end - begin);
    Map<WellSet, BigDecimal> aggregatedResultMap = new TreeMap<WellSet, BigDecimal>();

    for (WellSet set : collection) {

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

        for (Well 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.getMin();

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

    for (WellSet 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.MinBigIntegerTest.java

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

    int size = arrayIndices[0].first().size();
    int begin = random.nextInt(size - 5);
    int end = (begin + 4) + random.nextInt(size - (begin + 4) + 1);

    Map<PlateBigInteger, BigDecimal> aggregatedReturnedMap = min.platesAggregated(arrayIndices, begin,
            end - begin);
    Map<PlateBigInteger, BigDecimal> aggregatedResultMap = new TreeMap<PlateBigInteger, BigDecimal>();

    for (PlateBigInteger plate : arrayIndices) {

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

        for (WellBigInteger well : plate) {
            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.getMin();

        BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble);

        aggregatedResultMap.put(plate, aggregatedResult);
    }

    for (PlateBigInteger plate : arrayIndices) {

        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.MinTest.java

/**
 * Tests the plate statistics method using the values between the indices.
 *///from   w  w w  . j  a v a  2 s .c  o m
@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 = min.plate(plate, begin, end - begin);

        for (Well 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 (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.MinTest.java

/**
 * Tests set calculation using indices.//from  ww w .java 2s . com
 */
@Test
public void testSetIndices() {

    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 = min.set(plate.dataSet(), begin, end - begin);

        for (Well 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 (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.MinTest.java

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

    int size = arrayIndices[0].first().size();
    int begin = random.nextInt(size - 5);
    int end = (begin + 4) + random.nextInt(size - (begin + 4) + 1);

    WellSet[] setArrayIndices = new WellSet[arrayIndices.length];

    for (int i = 0; i < setArrayIndices.length; i++) {
        setArrayIndices[i] = arrayIndices[i].dataSet();
    }

    Map<WellSet, BigDecimal> aggregatedReturnedMap = min.setsAggregated(setArrayIndices, begin, end - begin);
    Map<WellSet, BigDecimal> aggregatedResultMap = new TreeMap<WellSet, BigDecimal>();

    for (WellSet set : setArrayIndices) {

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

        for (Well 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.getMin();

        BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble);

        aggregatedResultMap.put(set, aggregatedResult);
    }

    for (WellSet plate : setArrayIndices) {

        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.MinBigIntegerTest.java

/**
 * Tests the aggregated plate statistics method using the values between the indices of
 * the collection./*ww  w.  j  a  v  a 2  s  . com*/
 */
@Test
public void testAggregatedPlateCollectionIndices() {

    int size = arrayIndices[0].first().size();
    int begin = random.nextInt(size - 5);
    int end = (begin + 4) + random.nextInt(size - (begin + 4) + 1);

    List<PlateBigInteger> collection = Arrays.asList(arrayIndices);
    Map<PlateBigInteger, BigDecimal> aggregatedReturnedMap = min.platesAggregated(collection, begin,
            end - begin);

    Map<PlateBigInteger, BigDecimal> aggregatedResultMap = new TreeMap<PlateBigInteger, BigDecimal>();

    for (PlateBigInteger plate : collection) {

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

        for (WellBigInteger well : plate) {
            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.getMin();

        BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble);
        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]);
    }
}

---

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