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:knop.psfj.utils.MathUtils.java

/**
 * Format statistics.// ww w .ja v  a  2  s.co m
 *
 * @param stats the stats
 * @param unit the unit
 * @return the string
 */
public static String formatStatistics(DescriptiveStatistics stats, String unit) {
    String value = MathUtils.formatDouble(stats.getMean(), unit);
    System.out.println("number after dot : " + getNumberAfterDot(value));
    String variation = MathUtils.formatDouble(stats.getStandardDeviation(), unit, getNumberAfterDot(value));

    return String.format("%s %s %s", value, PLUS_MINUS, variation);
}

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From source file:de.tudarmstadt.ukp.experiments.argumentation.sequence.evaluation.thirdparty.SegEvalEvaluator.java

/**
 * Computes upper bounds by computing segment boundaries on three annotators
 *
 * @throws Exception//from ww w.  ja  va2  s  . co m
 */
public static void segmentEvaluationThreeAnnotators() throws Exception {
    File parentFolder = new File(
            "/usr/local/data/argumentation/all-annotations-phase2-exported/new-typesystem");
    for (String folderName : Arrays.asList("phase2-final-annotator1", "phase2-final-annotator2",
            "phase2-final-annotator3")) {
        File annotatorFolder = new File(parentFolder, folderName);

        SegEvalEvaluator evaluator = new SegEvalEvaluator();
        DescriptiveStatistics statistics = evaluator.evaluateFolders(new File(goldDataPath), annotatorFolder,
                ArgumentComponent.class);

        System.out.printf("%.3f +- %.3f", statistics.getMean(), statistics.getStandardDeviation());
    }
}

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From source file:async.nio2.Main.java

private static String toEvaluationString(DescriptiveStatistics stats) {
    String data = String.format(
            "0.50 Percentile  = %8.2f, " + "0.90 Percentile = %8.2f, " + "0.99 Percentile = %8.2f, "
                    + "min = %8.2f, " + "max = %8.2f",
            stats.getMean(), stats.getPercentile(90), stats.getPercentile(99), stats.getMin(), stats.getMax());
    stats.clear();/*ww w.j a  v a 2s. co m*/
    return data;
}

---

From source file:com.spotify.annoy.jni.base.Benchmark.java

private static void dispStats(List<Long> queryTime) {
    DescriptiveStatistics s = new DescriptiveStatistics();

    for (Long t : queryTime) {
        s.addValue(t);/*ww w  . j a  va  2  s  . c o m*/
    }

    System.out.print(new StringBuilder().append(String.format("Total time:  %.5fs\n", s.getSum() / 1.e9))
            .append(String.format("Mean time:   %.5fs\n", s.getMean() / 1.e9))
            .append(String.format("Median time: %.5fs\n", s.getPercentile(.5) / 1.e9))
            .append(String.format("Stddev time: %.5fs\n", s.getStandardDeviation() / 1.e9))
            .append(String.format("Min time:    %.5fs\n", s.getMin() / 1.e9))
            .append(String.format("Max time:    %.5fs\n", s.getMax() / 1.e9)).toString());
}

---

From source file:com.candy.algo.SMA.java

public static double[] Sma(double inputs[], int windowSize) {
    // Get a DescriptiveStatistics instance
    DescriptiveStatistics stats = new DescriptiveStatistics();
    stats.setWindowSize(windowSize);/*from w  ww  . jav a2 s .  com*/
    double[] sma = new double[inputs.length];
    for (int i = 0; i < inputs.length; i++) {
        stats.addValue(inputs[i]);
        if (i >= (windowSize - 1))
            sma[i] = stats.getMean();
        else
            sma[i] = Double.NaN;
    }
    return sma;
}

---

From source file:com.teradata.benchto.service.model.AggregatedMeasurement.java

public static AggregatedMeasurement aggregate(MeasurementUnit unit, Collection<Double> values) {
    if (values.size() < 2) {
        Double value = Iterables.getOnlyElement(values);
        return new AggregatedMeasurement(unit, value, value, value, 0.0, 0.0);
    }//  w  ww .  j a  va  2 s.  co m
    DescriptiveStatistics statistics = new DescriptiveStatistics(
            values.stream().mapToDouble(Double::doubleValue).toArray());

    double stdDevPercent = 0.0;
    if (statistics.getStandardDeviation() > 0.0) {
        stdDevPercent = (statistics.getStandardDeviation() / statistics.getMean()) * 100;
    }

    return new AggregatedMeasurement(unit, statistics.getMin(), statistics.getMax(), statistics.getMean(),
            statistics.getStandardDeviation(), stdDevPercent);
}

---

From source file:com.screenslicer.core.util.StringUtil.java

public static void trimLargeItems(int[] stringLengths, List<? extends Object> originals) {
    DescriptiveStatistics stats = new DescriptiveStatistics();
    for (int i = 0; i < stringLengths.length; i++) {
        stats.addValue(stringLengths[i]);
    }/*w  w  w  . jav  a  2s.c o m*/
    double stdDev = stats.getStandardDeviation();
    double mean = stats.getMean();
    List<Object> toRemove = new ArrayList<Object>();
    for (int i = 0; i < stringLengths.length; i++) {
        double diff = stringLengths[i] - mean;
        if (diff / stdDev > 4d) {
            toRemove.add(originals.get(i));
        }
    }
    for (Object obj : toRemove) {
        originals.remove(obj);
    }
}

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From source file:com.intuit.tank.service.impl.v1.report.SummaryReportRunner.java

/**
 * @param jobId/*from  w  w w. j a v a  2  s .c  o m*/
 * @param key
 * @param stats
 * @return
 */
private static PeriodicData getBucketData(int jobId, String key, BucketDataItem bucketItem) {
    DescriptiveStatistics stats = bucketItem.getStats();
    PeriodicData ret = PeriodicDataBuilder.periodicData().withJobId(jobId).withMax(stats.getMax())
            .withMean(stats.getMean()).withMin(stats.getMin()).withPageId(key)
            .withSampleSize((int) stats.getN()).withPeriod(bucketItem.getPeriod())
            .withTimestamp(bucketItem.getStartTime()).build();
    return ret;
}

---

From source file:com.intuit.tank.vm.common.util.ReportUtil.java

public static final String[] getSummaryData(String key, DescriptiveStatistics stats) {
    String[] ret = new String[ReportUtil.SUMMARY_HEADERS.length + PERCENTILES.length];
    int i = 0;//  ww  w .  j a va 2  s.  co m
    ret[i++] = key;// Page ID
    ret[i++] = INT_NF.format(stats.getN());// Sample Size
    ret[i++] = DOUBLE_NF.format(stats.getMean());// Mean
    ret[i++] = INT_NF.format(stats.getPercentile(50));// Meadian
    ret[i++] = INT_NF.format(stats.getMin());// Min
    ret[i++] = INT_NF.format(stats.getMax());// Max
    ret[i++] = DOUBLE_NF.format(stats.getStandardDeviation());// Std Dev
    ret[i++] = DOUBLE_NF.format(stats.getKurtosis());// Kurtosis
    ret[i++] = DOUBLE_NF.format(stats.getSkewness());// Skewness
    ret[i++] = DOUBLE_NF.format(stats.getVariance());// Varience
    for (int n = 0; n < PERCENTILES.length; n++) {
        ret[i++] = INT_NF.format(stats.getPercentile((Integer) PERCENTILES[n][1]));// Percentiles
    }
    return ret;
}

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From source file:net.adamjak.thomas.graph.application.commons.StatisticsUtils.java

public static DescriptiveStatistics statisticsWithoutExtremes(DescriptiveStatistics inputStatistics,
        GrubbsLevel grubbsLevel) throws IllegalArgumentException {
    if (inputStatistics == null || grubbsLevel == null)
        throw new IllegalArgumentException("Params inputStatistics and grubbsLevel can not be null.");

    int countInput = inputStatistics.getValues().length;
    Double avgInput = inputStatistics.getMean();
    Double stdInput = inputStatistics.getStandardDeviation();
    Double s = stdInput * Math.sqrt((countInput - 1.0) / countInput);
    Double criticalValue = grubbsLevel.getCriticalValue(countInput);

    DescriptiveStatistics outputStatistic = new DescriptiveStatistics();

    for (double inpVal : inputStatistics.getValues()) {
        double test = Math.abs(inpVal - avgInput) / s;

        if (test <= criticalValue) {
            outputStatistic.addValue(inpVal);
        }//from  ww w.ja  va  2 s  . c  o m
    }

    return outputStatistic;
}

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