Example usage 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.microflexinteger.stat.SumTest.java

/**
 * Tests the aggregated plate statistics method using a collection.
 *///from ww w .  j  av a2s .  co  m
@Test
public void testAggregatedSetCollection() {

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

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

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

    for (WellSet set : collection) {

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

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

        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 aggregatedResult = statAggregated.getSum();

        aggregatedResultMap.put(set, aggregatedResult);
    }

    for (WellSet set : collection) {

        double result = Precision.round(aggregatedResultMap.get(set), precision);
        double returned = Precision.round(aggregatedReturnedMap.get(set), precision);

        assertTrue(result == returned);
    }
}

---

From source file:com.github.jessemull.microflex.stat.statinteger.SumIntegerTest.java

/**
 * Tests the aggregated plate statistics method.
 *///w w w . j a  va2 s .  c om
@Test
public void testAggregatedPlate() {

    for (PlateInteger plate : array) {

        List<Double> resultList = new ArrayList<Double>();
        double aggregatedReturned = Precision.round(sum.platesAggregated(plate), precision);

        for (WellInteger well : plate) {
            resultList.addAll(well.toDouble());
        }

        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 = Precision.round(statAggregated.getSum(), precision);

        assertTrue(resultAggregated == aggregatedReturned);
    }
}

---

From source file:com.github.jessemull.microflex.stat.statinteger.SumIntegerTest.java

/**
 * Tests the aggregated plate statistics method using the values between the indices of
 * the collection.//from  ww  w.j  a v  a 2s  .  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<PlateInteger> collection = Arrays.asList(arrayIndices);
    Map<PlateInteger, Double> aggregatedReturnedMap = sum.platesAggregated(collection, begin, end - begin);

    Map<PlateInteger, Double> aggregatedResultMap = new TreeMap<PlateInteger, Double>();

    for (PlateInteger plate : collection) {

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

        for (WellInteger well : plate) {
            resultList.addAll(well.toDouble().subList(begin, end));
        }

        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.getSum();

        aggregatedResultMap.put(plate, resultAggregated);
    }

    for (PlateInteger plate : collection) {

        double result = Precision.round(aggregatedResultMap.get(plate), precision);
        double returned = Precision.round(aggregatedReturnedMap.get(plate), precision);

        assertTrue(result == returned);
    }
}

---

From source file:com.github.jessemull.microflex.stat.statinteger.SumIntegerTest.java

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

    for (PlateInteger plate : array) {

        List<Double> resultList = new ArrayList<Double>();
        double aggregatedReturned = Precision.round(sum.setsAggregated(plate.dataSet()), precision);

        for (WellInteger well : plate) {
            resultList.addAll(well.toDouble());
        }

        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 = Precision.round(statAggregated.getSum(), precision);

        assertTrue(resultAggregated == aggregatedReturned);
    }
}

---

From source file:com.github.jessemull.microflex.stat.statinteger.SumIntegerTest.java

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

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

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

    Map<WellSetInteger, Double> aggregatedReturnedMap = sum.setsAggregated(collection);
    Map<WellSetInteger, Double> aggregatedResultMap = new TreeMap<WellSetInteger, Double>();

    for (WellSetInteger set : collection) {

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

        for (WellInteger well : set) {
            resultList.addAll(well.toDouble());
        }

        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 aggregatedResult = statAggregated.getSum();

        aggregatedResultMap.put(set, aggregatedResult);
    }

    for (WellSetInteger set : collection) {

        double result = Precision.round(aggregatedResultMap.get(set), precision);
        double returned = Precision.round(aggregatedReturnedMap.get(set), precision);

        assertTrue(result == returned);
    }
}

---

From source file:com.github.jessemull.microflexdouble.stat.SumTest.java

/**
 * Tests the aggregated plate statistics method.
 *///from www .  j a  v  a 2  s .c  o m
@Test
public void testAggregatedPlate() {

    for (Plate plate : array) {

        List<Double> resultList = new ArrayList<Double>();
        double aggregatedReturned = Precision.round(sum.platesAggregated(plate), precision);

        for (Well well : plate) {
            resultList.addAll(well.data());
        }

        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 = Precision.round(statAggregated.getSum(), precision);

        assertTrue(resultAggregated == aggregatedReturned);
    }
}

---

From source file:com.github.jessemull.microflexdouble.stat.SumTest.java

/**
 * Tests the aggregated plate statistics method using the values between the indices of
 * the collection.//from   ww w.  ja va  2  s  .co m
 */
@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<Plate> collection = Arrays.asList(arrayIndices);
    Map<Plate, Double> aggregatedReturnedMap = sum.platesAggregated(collection, begin, end - begin);

    Map<Plate, Double> aggregatedResultMap = new TreeMap<Plate, Double>();

    for (Plate plate : collection) {

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

        for (Well well : plate) {
            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);
        }

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

        aggregatedResultMap.put(plate, resultAggregated);
    }

    for (Plate plate : collection) {

        double result = Precision.round(aggregatedResultMap.get(plate), precision);
        double returned = Precision.round(aggregatedReturnedMap.get(plate), precision);

        assertTrue(result == returned);
    }
}

---

From source file:com.github.jessemull.microflexdouble.stat.SumTest.java

/**
 * Tests the aggregated plate statistics method.
 *///from w w  w .  j  a  va  2  s  .com
@Test
public void testAggregatedSet() {

    for (Plate plate : array) {

        List<Double> resultList = new ArrayList<Double>();
        double aggregatedReturned = Precision.round(sum.setsAggregated(plate.dataSet()), precision);

        for (Well well : plate) {
            resultList.addAll(well.data());
        }

        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 = Precision.round(statAggregated.getSum(), precision);

        assertTrue(resultAggregated == aggregatedReturned);
    }
}

---

From source file:com.github.jessemull.microflexdouble.stat.SumTest.java

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

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

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

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

    for (WellSet set : collection) {

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

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

        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 aggregatedResult = statAggregated.getSum();

        aggregatedResultMap.put(set, aggregatedResult);
    }

    for (WellSet set : collection) {

        double result = Precision.round(aggregatedResultMap.get(set), precision);
        double returned = Precision.round(aggregatedReturnedMap.get(set), precision);

        assertTrue(result == returned);
    }
}

---

From source file:com.github.jessemull.microflexinteger.stat.SumTest.java

/**
 * Tests the aggregated plate statistics method using an array.
 *//* ww w .j a v  a2  s . c o  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, Double> aggregatedReturnedMap = sum.setsAggregated(setArray);
    Map<WellSet, Double> aggregatedResultMap = new TreeMap<WellSet, Double>();

    for (WellSet set : setArray) {

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

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

        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 aggregatedResult = statAggregated.getSum();

        aggregatedResultMap.put(set, aggregatedResult);
    }

    for (WellSet set : setArray) {

        double result = Precision.round(aggregatedResultMap.get(set), precision);
        double returned = Precision.round(aggregatedReturnedMap.get(set), precision);

        assertTrue(result == returned);
    }

}

---

• «
• 1
• 2
• 3
• 4
• 5
• 6
• 7
• 8
• 9
• 10
• 11
• 12
• 13
• 14
• 15
• 16
• 17
• 18
• 19
• 20
• 21
• 22
• 23
• 24
• 25
• 26
• 27
• 28
• 29
• 30
• »