Example usage for org.apache.commons.math3.stat.descriptive SummaryStatistics getStandardDeviation

Introduction

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

Prototype

public double getStandardDeviation() 

Source Link

Document

Returns the standard deviation of the values that have been added.

Usage

From source file:Server.ReadTXTFile.java

private static double calcMeanCI(SummaryStatistics stats, double level) {
    try {/* w ww . j ava 2s .  c om*/
        // Create T Distribution with N-1 degrees of freedom
        TDistribution tDist = new TDistribution(stats.getN() - 1);
        // Calculate critical value
        double critVal = tDist.inverseCumulativeProbability(1.0 - (1 - level) / 2);
        // Calculate confidence interval
        return critVal * stats.getStandardDeviation() / Math.sqrt(stats.getN());
    } catch (MathIllegalArgumentException e) {
        return Double.NaN;
    }
}

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From source file:tech.tablesaw.columns.numbers.Stats.java

private static Stats getStats(NumericColumn<?> values, SummaryStatistics summaryStatistics) {
    Stats stats = new Stats("Column: " + values.name());
    stats.min = summaryStatistics.getMin();
    stats.max = summaryStatistics.getMax();
    stats.n = summaryStatistics.getN();// ww  w.j  a  v a  2 s. co m
    stats.sum = summaryStatistics.getSum();
    stats.variance = summaryStatistics.getVariance();
    stats.populationVariance = summaryStatistics.getPopulationVariance();
    stats.quadraticMean = summaryStatistics.getQuadraticMean();
    stats.geometricMean = summaryStatistics.getGeometricMean();
    stats.mean = summaryStatistics.getMean();
    stats.standardDeviation = summaryStatistics.getStandardDeviation();
    stats.sumOfLogs = summaryStatistics.getSumOfLogs();
    stats.sumOfSquares = summaryStatistics.getSumsq();
    stats.secondMoment = summaryStatistics.getSecondMoment();
    return stats;
}

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From source file:tools.descartes.bungee.evaluation.ScalabilityReproducibilityEvaluation.java

private void printStatistics(SummaryStatistics summaryStats, double lowerConfidence, double upperConfidence,
        double wantedLower, double wantedUpper, boolean finished) {
    System.out.println("total runs: " + summaryStats.getN());
    System.out.println("mean: " + summaryStats.getMean());
    System.out.println("stdDev: " + summaryStats.getStandardDeviation());
    System.out.println("confidence interval [" + lowerConfidence + "," + upperConfidence + "]");
    System.out.println("wanted interval [" + wantedLower + "," + wantedUpper + "]");
    System.out.println("success: " + finished);
}

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From source file:tools.descartes.bungee.evaluation.ScalabilityReproducibilityEvaluation.java

private void writeEvaluationResultsToFile(List<Double> firstStepResults, SummaryStatistics summaryStats,
        double lowerConfidence, double upperConfidence, double wantedLower, double wantedUpper,
        boolean finished) {
    String resultsString = analysisResultCSVString(firstStepResults);
    PrintWriter writer;/*from  ww  w.  j av  a2s  . c o m*/
    try {
        writer = new PrintWriter(
                new File(measurementFolder, cloudSettings.getOffering() + "-evaluationResults.csv"),
                FileUtility.ENOCDING);
        writer.println(resultsString);
        writer.println("runs: " + FileUtility.CSV_SPLIT_BY + summaryStats.getN());
        writer.println("mean" + FileUtility.CSV_SPLIT_BY + summaryStats.getMean());
        writer.println("stdDev" + FileUtility.CSV_SPLIT_BY + summaryStats.getStandardDeviation());
        writer.println(Double.toString(diffPercent * 100) + "%-interval" + FileUtility.CSV_SPLIT_BY
                + Double.toString(wantedLower) + FileUtility.CSV_SPLIT_BY + Double.toString(wantedUpper));
        writer.println(Double.toString(confidence * 100) + "% confidence interval" + FileUtility.CSV_SPLIT_BY
                + Double.toString(lowerConfidence) + FileUtility.CSV_SPLIT_BY
                + Double.toString(upperConfidence));
        writer.println("confidence interval small enough" + FileUtility.CSV_SPLIT_BY + finished);
        writer.close();
    } catch (FileNotFoundException e) {
        e.printStackTrace();
    } catch (UnsupportedEncodingException e) {
        e.printStackTrace();
    }
}

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From source file:tools.descartes.bungee.evaluation.ScalabilityReproducibilityEvaluation.java

private double getConfidenceIntervalWidth(SummaryStatistics summaryStatistics, double confidence) {
    double significance = 1 - confidence;
    TDistribution tDist = new TDistribution(summaryStatistics.getN() - 1);
    double a = tDist.inverseCumulativeProbability(1.0 - significance / 2);
    return a * summaryStatistics.getStandardDeviation() / Math.sqrt(summaryStatistics.getN());
}

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From source file:uk.ac.diamond.scisoft.ncd.calibration.NCDAbsoluteCalibration.java

public void calibrate() {
    qMin = Math.max(absQ.min().doubleValue(), dataQ.min().doubleValue());
    qMax = Math.min(absQ.max().doubleValue(), dataQ.max().doubleValue());
    if (!(qMin < qMax)) {
        throw new IllegalArgumentException(
                "No calibration data found for the selected scattering vector range");
    }//from   w ww .j av a 2  s .  c  o  m

    int dataQStart = Math.min(dataQ.getSize() - 1, DatasetUtils.findIndexGreaterThanOrEqualTo(dataQ, qMin));
    int dataQStop = Math.min(dataQ.getSize() - 1, DatasetUtils.findIndexGreaterThanOrEqualTo(dataQ, qMax));

    SummaryStatistics stats = new SummaryStatistics();
    for (int i = dataQStart; i <= dataQStop; i++) {
        double qval = dataQ.getDouble(i);
        stats.addValue(absInterpolate.value(qval) / dataI.getDouble(i));
    }

    absScale = stats.getMean();
    absScaleStdDev = stats.getStandardDeviation();

    String msg = StringUtils.join(new String[] { "scale", Double.toString(absScale) }, " : ");
    System.out.println(msg);

    System.out.println("NCD Absolute Instensity Scaler");
    System.out.println(Double.toString(absScale));
    System.out.println("standard deviation:" + Double.toString(absScaleStdDev));

    calibratedData(dataI);
}

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From source file:wsattacker.plugin.dos.dosExtension.mvc.model.AttackModel.java

/**
 * Prints the result of the network stability Test
 */// w  ww .j a va 2s  .  com
public void generateNetworktestResult() {
    SummaryStatistics statistics = createNetworkStatistics();

    double standarddeviationResult = statistics.getStandardDeviation();
    double meanResult = statistics.getMean();

    // get Coefficient of variation
    this.networkTestResult = (standarddeviationResult / meanResult);
    this.networkTestResult = Math.round(networkTestResult * 100.0) / 100.0;
    System.out.println("--------------------Ergebnis NETWORK:" + standarddeviationResult + " - " + meanResult
            + " - " + (standarddeviationResult / meanResult));

    // get Result String
    if (this.networkTestResult < 0.5) {
        this.networkTestResultString = "stable";
    } else if (this.networkTestResult >= 0.5 && this.networkTestResult < 2.0) {
        this.networkTestResultString = "noisy";
    } else {
        this.networkTestResultString = "unstable";
    }

    this.networkTestFinished = true;

    fireModelChanged();
}

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From source file:wsattacker.plugin.intelligentdos.StatisticTest.java

private static double calcMeanCI(SummaryStatistics stats, double level) {
    // Create T Distribution with N-1 degrees of freedom
    TDistribution tDist = new TDistribution(stats.getN() - 1);
    // Calculate critical value
    double critVal = tDist.inverseCumulativeProbability(1.0 - (1 - level) / 2);
    // Calculate confidence interval
    return critVal * stats.getStandardDeviation() / Math.sqrt(stats.getN());
}

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From source file:wsattacker.plugin.intelligentdos.StatisticTest.java

private static void standardDeviation(SummaryStatistics statisticsWithDrug,
        SummaryStatistics statisticsPlacebo) {
    System.out.println("standardDeviation: " + statisticsWithDrug.getStandardDeviation());
    System.out.println("standardDeviation: " + statisticsPlacebo.getStandardDeviation());
}

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