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

Introduction

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

Prototype

public double getMean() 

Source Link

Document

Returns the <a href="http://www.xycoon.com/arithmetic_mean.htm"> arithmetic mean </a> of the available values

Usage

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

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

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

    for (PlateDouble plate : collection) {

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

        for (WellDouble well : plate) {

            List<BigDecimal> input = well.toBigDecimal();

            for (int i = 0; i < input.size(); i++) {
                resultList.add(input.get(i).multiply(new BigDecimal(weights[i])));
            }

        }

        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 aggregatedResult = statAggregated.getMean();

        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.MeanDoubleWeightsTest.java

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

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

    for (PlateDouble plate : array) {

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

        for (WellDouble well : plate) {

            List<BigDecimal> input = well.toBigDecimal();

            for (int i = 0; i < input.size(); i++) {
                resultList.add(input.get(i).multiply(new BigDecimal(weights[i])));
            }

        }

        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 aggregatedResult = statAggregated.getMean();

        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.microflex.stat.statinteger.MeanIntegerWeightsTest.java

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

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

    for (PlateInteger plate : collection) {

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

        for (WellInteger well : plate) {

            List<BigDecimal> input = well.toBigDecimal();

            for (int i = 0; i < input.size(); i++) {
                resultList.add(input.get(i).multiply(new BigDecimal(weights[i])));
            }

        }

        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 aggregatedResult = statAggregated.getMean();

        aggregatedResultMap.put(plate, aggregatedResult);
    }

    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.MeanIntegerWeightsTest.java

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

    Map<PlateInteger, Double> aggregatedReturnedMap = mean.platesAggregated(array, weights);
    Map<PlateInteger, Double> aggregatedResultMap = new TreeMap<PlateInteger, Double>();

    for (PlateInteger plate : array) {

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

        for (WellInteger well : plate) {

            List<BigDecimal> input = well.toBigDecimal();

            for (int i = 0; i < input.size(); i++) {
                resultList.add(input.get(i).multiply(new BigDecimal(weights[i])));
            }

        }

        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 aggregatedResult = statAggregated.getMean();

        aggregatedResultMap.put(plate, aggregatedResult);
    }

    for (PlateInteger 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.microflexdouble.stat.MeanWeightsTest.java

/**
 * Tests the plate statistics method using the values between the indices.
 *//*from  ww w.j a v a  2s. 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, Double> resultMap = new TreeMap<Well, Double>();
        Map<Well, Double> returnedMap = mean.plate(plate, ArrayUtils.subarray(weightsIndices, begin, end),
                begin, end - begin);

        for (Well well : plate) {

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

            for (double db : well) {
                input[index] = db * weightsIndices[index];
                index++;
            }

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

            resultMap.put(well, result);
        }

        for (Well well : plate) {

            double result = Precision.round(resultMap.get(well), precision);
            double returned = Precision.round(returnedMap.get(well), precision);

            assertTrue(result == returned);
        }
    }
}

---

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

/**
 * Tests set calculation using indices.//  w  ww  . j a v  a  2s  . c om
 */
@Test
public void testSetIndices() {

    for (Plate plate : arrayIndices) {

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

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

        for (Well well : plate) {

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

            for (double db : well) {
                input[index] = db * weightsIndices[index];
                index++;
            }

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

            resultMap.put(well, result);
        }

        for (Well well : plate) {

            double result = Precision.round(resultMap.get(well), precision);
            double returned = Precision.round(returnedMap.get(well), precision);

            assertTrue(result == returned);
        }
    }
}

---

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

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

    for (PlateDouble plate : arrayIndices) {

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

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

        for (WellDouble well : plate) {

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

            for (double db : well) {
                input[index] = db * weightsIndices[index];
                index++;
            }

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

            resultMap.put(well, result);
        }

        for (WellDouble well : plate) {

            double result = Precision.round(resultMap.get(well), precision);
            double returned = Precision.round(returnedMap.get(well), precision);

            assertTrue(result == returned);
        }
    }
}

---

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

/**
 * Tests set calculation using indices.//from ww w  .  jav a  2s.  co  m
 */
@Test
public void testSetIndices() {

    for (PlateDouble plate : arrayIndices) {

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

        Map<WellDouble, Double> resultMap = new TreeMap<WellDouble, Double>();
        Map<WellDouble, Double> returnedMap = mean.set(plate.dataSet(),
                ArrayUtils.subarray(weightsIndices, begin, end), begin, end - begin);

        for (WellDouble well : plate) {

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

            for (double db : well) {
                input[index] = db * weightsIndices[index];
                index++;
            }

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

            resultMap.put(well, result);
        }

        for (WellDouble well : plate) {

            double result = Precision.round(resultMap.get(well), precision);
            double returned = Precision.round(returnedMap.get(well), precision);

            assertTrue(result == returned);
        }
    }
}

---

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

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

    for (PlateInteger plate : arrayIndices) {

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

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

        for (WellInteger well : plate) {

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

            for (double db : well) {
                input[index] = db * weightsIndices[index];
                index++;
            }

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

            resultMap.put(well, result);
        }

        for (WellInteger well : plate) {

            double result = Precision.round(resultMap.get(well), precision);
            double returned = Precision.round(returnedMap.get(well), precision);

            assertTrue(result == returned);
        }
    }
}

---

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

/**
 * Tests set calculation using indices./*from  ww  w . ja  va  2s .co m*/
 */
@Test
public void testSetIndices() {

    for (PlateInteger plate : arrayIndices) {

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

        Map<WellInteger, Double> resultMap = new TreeMap<WellInteger, Double>();
        Map<WellInteger, Double> returnedMap = mean.set(plate.dataSet(),
                ArrayUtils.subarray(weightsIndices, begin, end), begin, end - begin);

        for (WellInteger well : plate) {

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

            for (double db : well) {
                input[index] = db * weightsIndices[index];
                index++;
            }

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

            resultMap.put(well, result);
        }

        for (WellInteger well : plate) {

            double result = Precision.round(resultMap.get(well), precision);
            double returned = Precision.round(returnedMap.get(well), precision);

            assertTrue(result == returned);
        }
    }
}

---

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