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

Introduction

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

Prototype

public DescriptiveStatistics(DescriptiveStatistics original) throws NullArgumentException 

Source Link

Document

Copy constructor.

Usage

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

/**
 * Tests the plate statistics method./*from  w  ww .  j a va2 s.  c  o  m*/
 */
@Test
public void testPlate() {

    for (Plate plate : array) {

        Map<Well, Integer> resultMap = new TreeMap<Well, Integer>();
        Map<Well, Integer> returnedMap = n.plate(plate);

        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 result = stat.getN();

            resultMap.put(well, (int) result);
        }

        for (Well well : plate) {

            int result = resultMap.get(well);
            int returned = returnedMap.get(well);

            assertEquals(result, returned);
        }
    }
}

---

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

/**
 * Tests the plate statistics method./*from   w  ww  .  j  a v a  2  s  . c  om*/
 */
@Test
public void testPlate() {

    for (PlateInteger plate : array) {

        Map<WellInteger, Integer> resultMap = new TreeMap<WellInteger, Integer>();
        Map<WellInteger, Integer> returnedMap = n.plate(plate);

        for (WellInteger well : plate) {

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

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

            DescriptiveStatistics stat = new DescriptiveStatistics(input);
            double result = stat.getN();

            resultMap.put(well, (int) result);
        }

        for (WellInteger well : plate) {

            int result = resultMap.get(well);
            int returned = returnedMap.get(well);

            assertEquals(result, returned);
        }
    }
}

---

From source file:io.realm.datastorebenchmark.DataStoreTest.java

public void saveMeasurements(String filePrefix) {
    String tag = getTag();/* w  w  w  .j a  v a  2  s  .co m*/
    try {
        // one file per test with raw data
        for (String key : keys) {
            File file1 = new File(Environment.getExternalStorageDirectory() + "/datastorebenchmark",
                    tag + "_" + key + ".csv");
            FileOutputStream fileOutputStream1 = new FileOutputStream(file1, false);
            List<Long> measurement = measurements.get(key);
            for (int i = 0; i < measurement.size(); i++) {
                fileOutputStream1.write(String.format("%d\n", measurement.get(i).longValue()).getBytes());
            }
            fileOutputStream1.close();
        }

        // combined CSV file
        File file = new File(Environment.getExternalStorageDirectory() + "/datastorebenchmark",
                filePrefix + ".csv");
        FileOutputStream fileOutputStream = new FileOutputStream(file, true);
        fileOutputStream.write(String.format("%s;", tag).getBytes());
        for (String key : keys) {
            List<Long> measurement = measurements.get(key);
            double[] doubles = new double[measurement.size()];
            for (int i = 0; i < measurement.size(); i++) {
                doubles[i] = measurement.get(i).doubleValue();
            }
            Collections.sort(measurement);
            DescriptiveStatistics results = new DescriptiveStatistics(doubles);
            fileOutputStream.write(String
                    .format("%e;%e;%e;", results.getMin(), results.getMax(), results.getMean()).getBytes());
        }
        fileOutputStream.write("\n".getBytes());
        fileOutputStream.close();
    } catch (Exception e) {
        e.printStackTrace();
    }
}

---

From source file:com.github.jessemull.microflex.stat.statbigdecimal.NBigDecimalTest.java

/**
 * Tests the plate statistics method.//from www .ja v a2 s .c om
 */
@Test
public void testPlate() {

    for (PlateBigDecimal plate : array) {

        Map<WellBigDecimal, Integer> resultMap = new TreeMap<WellBigDecimal, Integer>();
        Map<WellBigDecimal, Integer> returnedMap = n.plate(plate);

        for (WellBigDecimal well : plate) {

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

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

            DescriptiveStatistics stat = new DescriptiveStatistics(input);
            double result = stat.getN();

            resultMap.put(well, (int) result);
        }

        for (WellBigDecimal well : plate) {

            int result = resultMap.get(well);
            int returned = returnedMap.get(well);

            assertEquals(result, returned);
        }
    }
}

---

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

/**
 * Tests the plate statistics method.//from ww  w .ja v  a 2  s.co m
 */
@Test
public void testPlate() {

    for (PlateBigInteger plate : array) {

        Map<WellBigInteger, Integer> resultMap = new TreeMap<WellBigInteger, Integer>();
        Map<WellBigInteger, Integer> returnedMap = n.plate(plate);

        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 result = stat.getN();

            resultMap.put(well, (int) result);
        }

        for (WellBigInteger well : plate) {

            int result = resultMap.get(well);
            int returned = returnedMap.get(well);

            assertEquals(result, returned);
        }
    }
}

---

From source file:es.csic.iiia.planes.util.InverseWishartDistributionTest.java

private double testScale(double scale, double df) {
    RealMatrix scaleMatrix = new Array2DRowRealMatrix(new double[][] { { 1 / scale, 0 }, { 0, 1 / scale }, });

    DescriptiveStatistics stats = new DescriptiveStatistics(WISHART_SAMPLES * NORMAL_SAMPLES);
    for (int i = 0; i < WISHART_SAMPLES; i++) {
        InverseWishartDistribution instance = new InverseWishartDistribution(scaleMatrix, df);
        stats.addValue(computeRadius(instance));
    }/* w ww .ja  v a  2  s.c om*/

    return stats.getPercentile(50);
}

---

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

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

    for (Plate plate : array) {

        Map<Well, Double> resultMap = new TreeMap<Well, Double>();
        Map<Well, Double> returnedMap = max.plate(plate);

        for (Well well : plate) {

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

            for (double bd : well) {
                input[index++] = bd;
                ;
            }

            DescriptiveStatistics stat = new DescriptiveStatistics(input);
            double result = stat.getMax();

            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.MinTest.java

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

    for (Plate plate : array) {

        Map<Well, Double> resultMap = new TreeMap<Well, Double>();
        Map<Well, Double> returnedMap = min.plate(plate);

        for (Well well : plate) {

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

            for (double bd : well) {
                input[index++] = bd;
                ;
            }

            DescriptiveStatistics stat = new DescriptiveStatistics(input);
            double result = stat.getMin();

            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.SumTest.java

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

    for (Plate plate : array) {

        Map<Well, Double> resultMap = new TreeMap<Well, Double>();
        Map<Well, Double> returnedMap = sum.plate(plate);

        for (Well well : plate) {

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

            for (double bd : well) {
                input[index++] = bd;
                ;
            }

            DescriptiveStatistics stat = new DescriptiveStatistics(input);
            double result = stat.getSum();

            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.MeanTest.java

/**
 * Tests the plate statistics method./*from  w w  w . j av a  2  s. c  om*/
 */
@Test
public void testPlate() {

    for (Plate plate : array) {

        Map<Well, Double> resultMap = new TreeMap<Well, Double>();
        Map<Well, Double> returnedMap = mean.plate(plate);

        for (Well well : plate) {

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

            for (double bd : well) {
                input[index++] = bd;
                ;
            }

            DescriptiveStatistics stat = new DescriptiveStatistics(input);
            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);
        }
    }
}

---

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