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.microflexbigdecimal.stat.MeanTest.java

/**
 * Tests well calculation./* ww  w  .  ja v  a2  s  .co  m*/
 */
@Test
public void testWell() {

    for (Plate plate : array) {

        for (Well 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 resultDouble = stat.getMean();

            BigDecimal returned = mean.well(well, mc);
            BigDecimal result = new BigDecimal(resultDouble);

            BigDecimal[] corrected = correctRoundingErrors(returned, result);

            assertEquals(corrected[0], corrected[1]);
        }
    }
}

---

From source file:com.iorga.webappwatcher.analyzer.ws.statistics.DailyStatisticsWS.java

@GET
@Path("/compute")
public StreamingOutput compute() throws ClassNotFoundException, IOException {
    final List<DayStatistic> computeDayStatistics = durationPerPrincipalStats.computeDayStatistics();
    return new StreamingOutput() {
        @Override/*  w w w .j  a  v  a  2s. c om*/
        public void write(final OutputStream output) throws IOException, WebApplicationException {
            final JsonGenerator generator = OBJECT_MAPPER.getJsonFactory().createJsonGenerator(output,
                    JsonEncoding.UTF8);
            generator.writeStartArray();
            for (final DayStatistic dayStatistic : computeDayStatistics) {
                generator.writeStartObject();
                generator.writeFieldName("startDate");
                OBJECT_MAPPER.writeValue(generator, dayStatistic.getStartDate());
                generator.writeFieldName("endDate");
                OBJECT_MAPPER.writeValue(generator, dayStatistic.getEndDate());
                generator.writeArrayFieldStart("statistics");
                // write each statistic
                for (final String statisticType : new String[] { "distinctUsers", "numberOfRequests",
                        "durationsFor1clickSum", "durationsFor1clickMean", "durationsFor1clickMedian",
                        "durationsFor1click90c", "durationsFor1clickMin", "durationsFor1clickMax" }) {
                    //                  generator.writeFieldName(statisticType);
                    generator.writeStartObject();
                    generator.writeStringField("type", statisticType);
                    // get the statistics from the dayStatistic
                    DescriptiveStatistics descriptiveStatistics;
                    try {
                        descriptiveStatistics = (DescriptiveStatistics) dayStatistic.getClass()
                                .getMethod("get" + StringUtils.capitalize(statisticType)).invoke(dayStatistic);
                    } catch (IllegalAccessException | IllegalArgumentException | InvocationTargetException
                            | NoSuchMethodException | SecurityException e) {
                        throw new IOException(
                                "Problem while invoking getter for statisticType " + statisticType, e);
                    }
                    generator.writeNumberField("min", descriptiveStatistics.getMin());
                    generator.writeNumberField("max", descriptiveStatistics.getMax());
                    generator.writeNumberField("mean", descriptiveStatistics.getMean());
                    generator.writeNumberField("median", descriptiveStatistics.getPercentile(50));
                    generator.writeEndObject();
                }
                generator.writeEndArray();
                generator.writeFieldName("distinctPrincipalsSize");
                OBJECT_MAPPER.writeValue(generator, dayStatistic.getPrincipals().size());
                generator.writeEndObject();
            }
            generator.writeEndArray();

            generator.flush(); // required else all the stream is not sent
        }
    };
}

---

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

/**
 * Tests well calculation.//from w  w  w. jav a 2 s  .co m
 */
@Test
public void testWell() {

    for (PlateBigDecimal plate : array) {

        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 resultDouble = stat.getMean();

            BigDecimal returned = mean.well(well, mc);
            BigDecimal result = new BigDecimal(resultDouble);

            BigDecimal[] corrected = correctRoundingErrors(returned, result);

            assertEquals(corrected[0], corrected[1]);
        }
    }
}

---

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

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

    for (Plate plate : array) {

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

        for (Well 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 resultDouble = stat.getMean();

            BigDecimal result = new BigDecimal(resultDouble);

            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:cc.kave.commons.pointsto.evaluation.events.MRREvaluation.java

private double calcMRR(ICallsRecommender<Query> recommender, Map<ICompletionEvent, List<Usage>> eventQueries) {
    DescriptiveStatistics reciprocalRank = new DescriptiveStatistics();
    for (Map.Entry<ICompletionEvent, List<Usage>> eventEntry : eventQueries.entrySet()) {
        ICompletionEvent event = eventEntry.getKey();
        IProposal expectedProposal = event.getLastSelectedProposal();
        ICoReMethodName expectedMethod = CoReNameConverter
                .convert((cc.kave.commons.model.naming.codeelements.IMethodName) expectedProposal.getName());

        for (Usage query : eventEntry.getValue()) {
            double rr = measure.calculate(recommender, Query.createAsCopyFrom(query),
                    ImmutableSet.of(expectedMethod));
            reciprocalRank.addValue(rr);
        }//  w w  w . j av a2  s. c  o  m
    }

    return reciprocalRank.getMean();
}

---

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

/**
 * Tests set calculation./*w  w w . j av  a  2  s .  c  om*/
 */
@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 (BigDecimal bd : well) {
                input[index++] = bd.doubleValue();
            }

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

            BigDecimal result = new BigDecimal(resultDouble);

            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.statbigdecimal.MeanBigDecimalTest.java

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

    for (PlateBigDecimal plate : array) {

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

        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 resultDouble = stat.getMean();

            BigDecimal result = new BigDecimal(resultDouble);

            resultMap.put(well, result);
        }

        for (WellBigDecimal 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.statbigdecimal.MeanBigDecimalTest.java

/**
 * Tests set calculation./* w  w  w .  j  av  a2s  .c o  m*/
 */
@Test
public void testSet() {

    for (PlateBigDecimal plate : array) {

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

        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 resultDouble = stat.getMean();

            BigDecimal result = new BigDecimal(resultDouble);

            resultMap.put(well, result);
        }

        for (WellBigDecimal 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.microflexdouble.stat.MeanWeightsTest.java

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

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

    for (Plate plate : collection) {

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

        for (Well 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 (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.microflexdouble.stat.MeanWeightsTest.java

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

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

    for (Plate plate : array) {

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

        for (Well 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 (Plate plate : array) {

        double result = Precision.round(aggregatedResultMap.get(plate), precision);
        double returned = Precision.round(aggregatedReturnedMap.get(plate), precision);

        assertTrue(result == returned);
    }

}

---

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