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

Introduction

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

Prototype

public double getStandardDeviation() 

Source Link

Document

Returns the standard deviation of the available values.

Usage

From source file:com.github.jessemull.microflex.stat.statdouble.SampleStandardDeviationDoubleTest.java

/**
 * Tests the aggregated plate statistics method using the values between the indices of
 * the array./*from   w w  w.  j ava  2s . co 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<PlateDouble, Double> aggregatedReturnedMap = deviation.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.getStandardDeviation();

        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.microflex.stat.statdouble.SampleStandardDeviationDoubleTest.java

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

    for (PlateDouble plate : array) {

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

        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 resultAggregated = Precision.round(statAggregated.getStandardDeviation(), precision);

        assertTrue(resultAggregated == aggregatedReturned);
    }
}

---

From source file:com.github.jessemull.microflex.stat.statdouble.SampleStandardDeviationDoubleTest.java

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

    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().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.getStandardDeviation();

        aggregatedResultMap.put(plate, resultAggregated);
    }

    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.SampleStandardDeviationDoubleTest.java

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

    for (PlateDouble plate : array) {

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

        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 resultAggregated = Precision.round(statAggregated.getStandardDeviation(), precision);

        assertTrue(resultAggregated == aggregatedReturned);
    }
}

---

From source file:com.github.jessemull.microflex.stat.statdouble.SampleStandardDeviationDoubleTest.java

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

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

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

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

    for (WellSetDouble set : collection) {

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

        for (WellDouble 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.getStandardDeviation();

        aggregatedResultMap.put(set, aggregatedResult);
    }

    for (WellSetDouble 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.StandardDeviationIntegerTest.java

/**
 * Tests the aggregated plate statistics method using the values between the indices of
 * the array.//from   ww w .  j a v a2 s . 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<PlateInteger, Double> aggregatedReturnedMap = deviation.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.getStandardDeviation();

        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.microflexinteger.stat.StandardDeviationTest.java

/**
 * Tests the aggregated plate statistics method using the values between the indices of
 * the collection./*from   w w w  .j av a 2 s  .com*/
 */
@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, Double> aggregatedReturnedMap = deviation.setsAggregated(collection, begin, end - begin);
    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().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.getStandardDeviation();

        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.StandardDeviationTest.java

/**
 * Tests the aggregated plate statistics method using the values between the indices of
 * the array./*from   w  ww.jav  a 2 s .c  o  m*/
 */
@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, Double> aggregatedReturnedMap = deviation.setsAggregated(setArrayIndices, begin, end - begin);
    Map<WellSet, Double> aggregatedResultMap = new TreeMap<WellSet, Double>();

    for (WellSet set : setArrayIndices) {

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

        for (Well well : set) {
            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.getStandardDeviation();

        aggregatedResultMap.put(set, aggregatedResult);
    }

    for (WellSet plate : setArrayIndices) {

        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.SampleStandardDeviationDoubleTest.java

/**
 * Tests the aggregated plate statistics method using an array.
 *//*www  . j  a  v a2 s .  c  o m*/
@Test
public void testAggregatedSetArray() {

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

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

    Map<WellSetDouble, Double> aggregatedReturnedMap = deviation.setsAggregated(setArray);
    Map<WellSetDouble, Double> aggregatedResultMap = new TreeMap<WellSetDouble, Double>();

    for (WellSetDouble set : setArray) {

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

        for (WellDouble 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.getStandardDeviation();

        aggregatedResultMap.put(set, aggregatedResult);
    }

    for (WellSetDouble set : setArray) {

        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.StandardDeviationIntegerTest.java

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

    for (PlateInteger plate : array) {

        List<Double> resultList = new ArrayList<Double>();
        double aggregatedReturned = Precision.round(deviation.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.getStandardDeviation(), precision);

        assertTrue(resultAggregated == aggregatedReturned);
    }
}

---

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