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

Introduction

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

Prototype

double getStandardDeviation();

Source Link

Document

Returns the standard deviation of the available values.

Usage

From source file:org.briljantframework.example.array.Perf.java

private static double[] randmatstat_Briljant(int t) {
    Random random = new Random();
    int n = 5;//  w  w  w . ja  v  a  2  s  .  c  o  m
    DoubleArray p = Arrays.doubleArray(n, n * 4);
    DoubleArray q = Arrays.doubleArray(n * 2, n * 2);
    DoubleArray v = Arrays.doubleArray(t, 1);
    DoubleArray w = Arrays.doubleArray(t, 1);

    for (int i = 0; i < t; i++) {
        p.getView(0, 0, n, n).assign(random::nextGaussian);
        p.getView(0, n, n, n).assign(random::nextGaussian);
        p.getView(0, n * 2, n, n).assign(random::nextGaussian);
        p.getView(0, n * 3, n, n).assign(random::nextGaussian);

        q.getView(0, 0, n, n).assign(random::nextGaussian);
        q.getView(0, n, n, n).assign(random::nextGaussian);
        q.getView(n, 0, n, n).assign(random::nextGaussian);
        q.getView(n, n, n, n).assign(random::nextGaussian);

        DoubleArray x = Arrays.dot(TRANSPOSE, KEEP, p, p);
        v.set(i, Arrays.trace(Arrays.dot(x, Arrays.dot(x, x))));

        x = Arrays.dot(TRANSPOSE, KEEP, q, q);
        w.set(i, Arrays.trace(Arrays.dot(x, Arrays.dot(x, x))));
    }
    StatisticalSummary statV = v.collect(FastStatistics::new, FastStatistics::addValue);
    StatisticalSummary statW = w.collect(FastStatistics::new, FastStatistics::addValue);
    double meanv = statV.getMean();
    double stdv = statV.getStandardDeviation();
    double meanw = statW.getMean();
    double stdw = statW.getStandardDeviation();

    return new double[] { meanv, stdv, meanw, stdw };
}

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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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