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

List of usage examples 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.microflexdouble.stat.SumTest.java

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

    Map<Plate, Double> aggregatedReturnedMap = sum.platesAggregated(array);
    Map<Plate, Double> aggregatedResultMap = new TreeMap<Plate, Double>();

    for (Plate plate : array) {

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

        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 aggregatedResult = statAggregated.getSum();

        aggregatedResultMap.put(plate, aggregatedResult);
    }

    for (Plate plate : array) {

        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.statdouble.SumDoubleTest.java

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

    List<PlateDouble> collection = Arrays.asList(array);
    Map<PlateDouble, Double> aggregatedReturnedMap = sum.platesAggregated(collection);
    Map<PlateDouble, Double> aggregatedResultMap = new TreeMap<PlateDouble, Double>();

    for (PlateDouble plate : collection) {

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

        for (WellDouble 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 aggregatedResult = statAggregated.getSum();

        aggregatedResultMap.put(plate, aggregatedResult);
    }

    for (PlateDouble 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.statdouble.SumDoubleTest.java

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

    Map<PlateDouble, Double> aggregatedReturnedMap = sum.platesAggregated(array);
    Map<PlateDouble, Double> aggregatedResultMap = new TreeMap<PlateDouble, Double>();

    for (PlateDouble plate : array) {

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

        for (WellDouble 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 aggregatedResult = statAggregated.getSum();

        aggregatedResultMap.put(plate, aggregatedResult);
    }

    for (PlateDouble plate : array) {

        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.microflexinteger.stat.SumTest.java

/**
 * Tests the aggregated plate statistics method using the values between the indices of
 * the array./*  w w  w .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<Plate, Double> aggregatedReturnedMap = sum.platesAggregated(arrayIndices, begin, end - begin);
    Map<Plate, Double> aggregatedResultMap = new TreeMap<Plate, Double>();

    for (Plate plate : arrayIndices) {

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

        for (Well 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 aggregatedResult = statAggregated.getSum();

        aggregatedResultMap.put(plate, aggregatedResult);
    }

    for (Plate plate : arrayIndices) {

        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 using the values between the indices of
 * the array./* w  w w.  ja va 2s.  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<PlateInteger, Double> aggregatedReturnedMap = sum.platesAggregated(arrayIndices, begin, end - begin);
    Map<PlateInteger, Double> aggregatedResultMap = new TreeMap<PlateInteger, Double>();

    for (PlateInteger plate : arrayIndices) {

        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 aggregatedResult = statAggregated.getSum();

        aggregatedResultMap.put(plate, aggregatedResult);
    }

    for (PlateInteger plate : arrayIndices) {

        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 using the values between the indices of
 * the array./* w  w w  .  j av  a 2s .  c om*/
 */
@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<Plate, Double> aggregatedReturnedMap = sum.platesAggregated(arrayIndices, begin, end - begin);
    Map<Plate, Double> aggregatedResultMap = new TreeMap<Plate, Double>();

    for (Plate plate : arrayIndices) {

        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 aggregatedResult = statAggregated.getSum();

        aggregatedResultMap.put(plate, aggregatedResult);
    }

    for (Plate plate : arrayIndices) {

        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.statdouble.SumDoubleTest.java

/**
 * Tests the aggregated plate statistics method using the values between the indices of
 * the array./*  w w w  .  ja  v a 2s  .  com*/
 */
@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<PlateDouble, Double> aggregatedReturnedMap = sum.platesAggregated(arrayIndices, begin, end - begin);
    Map<PlateDouble, Double> aggregatedResultMap = new TreeMap<PlateDouble, Double>();

    for (PlateDouble plate : arrayIndices) {

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

        for (WellDouble 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 aggregatedResult = statAggregated.getSum();

        aggregatedResultMap.put(plate, aggregatedResult);
    }

    for (PlateDouble plate : arrayIndices) {

        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.microflexinteger.stat.SumTest.java

/**
 * Tests the aggregated plate statistics method.
 *///w  ww  . jav  a2  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.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.microflexinteger.stat.SumTest.java

/**
 * Tests the aggregated plate statistics method using the values between the indices of
 * the collection.//from  w  w w  .j a v a 2 s.c o 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.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 (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.microflexinteger.stat.SumTest.java

/**
 * Tests the aggregated plate statistics method.
 */// w  w w. j av  a 2  s  .  c om
@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.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);
    }
}