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.microflexbiginteger.stat.MeanTest.java

/**
 * Tests set calculation.//from   w  w  w  .  ja  va  2  s .  c  o m
 */
@Test
public void testSet() {

    for (Plate plate : array) {

        Map<Well, BigDecimal> resultMap = new TreeMap<Well, BigDecimal>();
        Map<Well, BigDecimal> returnedMap = mean.set(plate.dataSet(), mc);

        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(input);
            double resultDouble = stat.getMean();

            BigDecimal result = new BigDecimal(resultDouble, mc);

            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.microflex.stat.statbiginteger.MeanBigIntegerTest.java

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

    for (PlateBigInteger plate : array) {

        Map<WellBigInteger, BigDecimal> resultMap = new TreeMap<WellBigInteger, BigDecimal>();
        Map<WellBigInteger, BigDecimal> returnedMap = mean.plate(plate, mc);

        for (WellBigInteger well : plate) {

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

            for (BigInteger bi : well) {
                input[index++] = bi.doubleValue();
            }

            DescriptiveStatistics stat = new DescriptiveStatistics(input);
            double resultDouble = stat.getMean();

            BigDecimal result = new BigDecimal(resultDouble, mc);

            resultMap.put(well, result);
        }

        for (WellBigInteger 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.microflex.stat.statbiginteger.MeanBigIntegerTest.java

/**
 * Tests set calculation.//from   w ww .  j  a  v  a2  s.co  m
 */
@Test
public void testSet() {

    for (PlateBigInteger plate : array) {

        Map<WellBigInteger, BigDecimal> resultMap = new TreeMap<WellBigInteger, BigDecimal>();
        Map<WellBigInteger, BigDecimal> returnedMap = mean.set(plate.dataSet(), mc);

        for (WellBigInteger well : plate) {

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

            for (BigInteger bi : well) {
                input[index++] = bi.doubleValue();
            }

            DescriptiveStatistics stat = new DescriptiveStatistics(input);
            double resultDouble = stat.getMean();

            BigDecimal result = new BigDecimal(resultDouble, mc);

            resultMap.put(well, result);
        }

        for (WellBigInteger 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.MeanTest.java

/**
 * Tests the aggregated plate statistics method.
 */// w ww .  java2 s  .c  o  m
@Test
public void testAggregatedPlate() {

    for (Plate plate : array) {

        List<BigDecimal> resultList = new ArrayList<BigDecimal>();
        BigDecimal aggregatedReturned = mean.platesAggregated(plate, mc);

        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(input);
            double resultDouble = stat.getMean();

            BigDecimal result = new BigDecimal(resultDouble, mc);

            resultList.add(result);
        }

        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.getMean();

        BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble, mc);

        BigDecimal[] corrected = correctRoundingErrors(aggregatedResult, aggregatedReturned);
        assertEquals(corrected[0], corrected[1]);
    }
}

---

From source file:com.github.jessemull.microflexbiginteger.stat.MeanTest.java

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

    for (Plate plate : array) {

        List<BigDecimal> resultList = new ArrayList<BigDecimal>();
        BigDecimal aggregatedReturned = mean.setsAggregated(plate.dataSet(), mc);

        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(input);
            double resultDouble = stat.getMean();

            BigDecimal result = new BigDecimal(resultDouble, mc);

            resultList.add(result);
        }

        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.getMean();

        BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble, mc);

        BigDecimal[] corrected = correctRoundingErrors(aggregatedResult, aggregatedReturned);
        assertEquals(corrected[0], corrected[1]);
    }
}

---

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

/**
 * Tests the aggregated plate statistics method.
 *///from w w  w  .  j ava 2  s .co  m
@Test
public void testAggregatedPlate() {

    for (PlateBigInteger plate : array) {

        List<BigDecimal> resultList = new ArrayList<BigDecimal>();
        BigDecimal aggregatedReturned = mean.platesAggregated(plate, mc);

        for (WellBigInteger well : plate) {

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

            for (BigInteger bi : well) {
                input[index++] = bi.doubleValue();
            }

            DescriptiveStatistics stat = new DescriptiveStatistics(input);
            double resultDouble = stat.getMean();

            BigDecimal result = new BigDecimal(resultDouble, mc);

            resultList.add(result);
        }

        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.getMean();

        BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble, mc);

        BigDecimal[] corrected = correctRoundingErrors(aggregatedResult, aggregatedReturned);
        assertEquals(corrected[0], corrected[1]);
    }
}

---

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

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

    for (PlateBigInteger plate : array) {

        List<BigDecimal> resultList = new ArrayList<BigDecimal>();
        BigDecimal aggregatedReturned = mean.setsAggregated(plate.dataSet(), mc);

        for (WellBigInteger well : plate) {

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

            for (BigInteger bi : well) {
                input[index++] = bi.doubleValue();
            }

            DescriptiveStatistics stat = new DescriptiveStatistics(input);
            double resultDouble = stat.getMean();

            BigDecimal result = new BigDecimal(resultDouble, mc);

            resultList.add(result);
        }

        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.getMean();

        BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble, mc);

        BigDecimal[] corrected = correctRoundingErrors(aggregatedResult, aggregatedReturned);
        assertEquals(corrected[0], corrected[1]);
    }
}

---

From source file:com.github.jessemull.microflexbiginteger.stat.MeanTest.java

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

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

    for (Plate plate : collection) {

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

        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(input);
            double resultDouble = stat.getMean();

            BigDecimal result = new BigDecimal(resultDouble, mc);

            resultList.add(result);
        }

        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.getMean();

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

    for (Plate 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.microflexbiginteger.stat.MeanTest.java

/**
 * Tests the aggregated plate statistics method using an array.
 *//*from w w  w.  j a  va2 s. c  om*/
@Test
public void testAggregatedPlateArray() {

    Map<Plate, BigDecimal> aggregatedReturnedMap = mean.platesAggregated(array, mc);
    Map<Plate, BigDecimal> aggregatedResultMap = new TreeMap<Plate, BigDecimal>();

    for (Plate plate : array) {

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

        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(input);
            double resultDouble = stat.getMean();

            BigDecimal result = new BigDecimal(resultDouble, mc);

            resultList.add(result);
        }

        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.getMean();

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

    for (Plate 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.microflex.stat.statbiginteger.MeanBigIntegerTest.java

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

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

    for (PlateBigInteger plate : collection) {

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

        for (WellBigInteger well : plate) {

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

            for (BigInteger bi : well) {
                input[index++] = bi.doubleValue();
            }

            DescriptiveStatistics stat = new DescriptiveStatistics(input);
            double resultDouble = stat.getMean();

            BigDecimal result = new BigDecimal(resultDouble, mc);

            resultList.add(result);
        }

        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.getMean();

        BigDecimal aggregatedResult = new BigDecimal(resultAggregatedDouble, mc);
        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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