Example usage for org.apache.commons.math3.stat.descriptive StatisticalSummary getN

Introduction

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

Prototype

long getN();

Source Link

Document

Returns the number of available values

Usage

From source file:ijfx.core.stats.DefaultImageStatisticsService.java

@Override
public Map<String, Double> summaryStatisticsToMap(StatisticalSummary summaryStats) {

    Map<String, Double> statistics = new HashMap<>();
    statistics.put(LBL_MEAN, summaryStats.getMean());
    statistics.put(LBL_MIN, summaryStats.getMin());
    statistics.put(LBL_MAX, summaryStats.getMax());
    statistics.put(LBL_SD, summaryStats.getStandardDeviation());
    statistics.put(LBL_VARIANCE, summaryStats.getVariance());
    statistics.put(LBL_PIXEL_COUNT, (double) summaryStats.getN());
    return statistics;
}

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From source file:gdsc.smlm.ij.plugins.PSFEstimator.java

private void getP(StatisticalSummary sample1, StatisticalSummary sample2, int i, double[] p,
        boolean[] identical) {
    if (sample1.getN() < 2)
        return;//  ww w .ja v a2s.co m

    // The number returned is the smallest significance level at which one can reject the null 
    // hypothesis that the mean of the paired differences is 0 in favor of the two-sided alternative 
    // that the mean paired difference is not equal to 0. For a one-sided test, divide the returned value by 2
    p[i] = TestUtils.tTest(sample1, sample2);
    identical[i] = (p[i] > settings.pValue);
}

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From source file:org.briljantframework.data.dataframe.transform.ZNormalizer.java

@Override
public Transformer fit(DataFrame df) {
    Vector.Builder meanBuilder = Vector.Builder.of(Double.class);
    Vector.Builder stdBuilder = Vector.Builder.of(Double.class);
    for (Object columnKey : df) {
        StatisticalSummary stats = Vectors.statisticalSummary(df.get(columnKey));
        if (stats.getN() <= 0 || Is.NA(stats.getMean()) || Is.NA(stats.getStandardDeviation())) {
            throw new IllegalArgumentException("Illegal value for column " + columnKey);
        }//from   ww  w  . jav a  2s  .  c o m
        meanBuilder.set(columnKey, stats.getMean());
        stdBuilder.set(columnKey, stats.getStandardDeviation());
    }
    Vector mean = meanBuilder.build();
    Vector sigma = stdBuilder.build();

    return new ZNormalizerTransformer(mean, sigma);
}

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From source file:org.italiangrid.voms.aa.x509.stats.ExecutionTimeStats.java

public static ExecutionTimeStats fromSummaryStats(StatisticalSummary stats) {

    ExecutionTimeStats v = new ExecutionTimeStats();

    v.setMax(stats.getMax());/* w  w  w . jav a 2  s  . c  om*/
    v.setMin(stats.getMin());
    v.setMean(stats.getMean());
    v.setCount(stats.getN());
    return v;
}

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From source file:prm4jeval.dataanalysis.ConfidenceInterval.java

public static double getConfidenceIntervalWidth(StatisticalSummary summaryStatistics, double significance) {
    RealDistribution tDist = new TDistribution(summaryStatistics.getN() - 1);
    double t = tDist.inverseCumulativeProbability(1.0 - significance / 2);
    return 2 * t * summaryStatistics.getStandardDeviation() / Math.sqrt(summaryStatistics.getN());
}

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