Example usage for org.apache.commons.math.stat.descriptive.moment GeometricMean GeometricMean

Introduction

In this page you can find the example usage for org.apache.commons.math.stat.descriptive.moment GeometricMean GeometricMean.

Prototype

public GeometricMean() 

Source Link

Document

Create a GeometricMean instance

Usage

From source file:com.discursive.jccook.math.StatExample.java

public static void main(String[] args) {
    double[] values = new double[] { 2.3, 5.4, 6.2, 7.3, 23.3 };

    System.out.println("min: " + StatUtils.min(values));
    System.out.println("max: " + StatUtils.max(values));
    System.out.println("mean: " + StatUtils.mean(values));
    System.out.println("product: " + StatUtils.product(values));
    System.out.println("sum: " + StatUtils.sum(values));
    System.out.println("variance: " + StatUtils.variance(values));

    // Measures from previous example
    Min min = new Min();
    System.out.println("min: " + min.evaluate(values));
    Max max = new Max();
    System.out.println("max: " + max.evaluate(values));
    Mean mean = new Mean();
    System.out.println("mean: " + mean.evaluate(values));
    Product product = new Product();
    System.out.println("product: " + product.evaluate(values));
    Sum sum = new Sum();
    System.out.println("sum: " + sum.evaluate(values));
    Variance variance = new Variance();
    System.out.println("variance: " + variance.evaluate(values));

    // New measures
    Percentile percentile = new Percentile();
    System.out.println("80 percentile value: " + percentile.evaluate(values, 80.0));
    GeometricMean geoMean = new GeometricMean();
    System.out.println("geometric mean: " + geoMean.evaluate(values));
    StandardDeviation stdDev = new StandardDeviation();
    System.out.println("standard dev: " + stdDev.evaluate(values));
    Skewness skewness = new Skewness();
    System.out.println("skewness: " + skewness.evaluate(values));
    Kurtosis kurtosis = new Kurtosis();
    System.out.println("kurtosis: " + kurtosis.evaluate(values));

}

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From source file:geogebra.kernel.statistics.AlgoGeometricMean.java

protected final void compute() {

    //==========================
    // validation
    size = inputList.size();//  w w  w  . j  ava2 s .c  o  m
    if (!inputList.isDefined() || size == 0) {
        result.setUndefined();
        return;
    }

    //==========================
    // compute result

    inputArray = new double[size];

    // load input value array from  geoList
    for (int i = 0; i < size; i++) {
        GeoElement geo = inputList.get(i);
        if (geo.isNumberValue()) {
            NumberValue num = (NumberValue) geo;
            inputArray[i] = num.getDouble();
        } else {
            result.setUndefined();
            return;
        }
    }

    if (geoMean == null)
        geoMean = new GeometricMean();

    result.setValue(geoMean.evaluate(inputArray, 0, size));
}

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From source file:org.beedraz.semantics_II.expression.number.real.double64.stat.DoubleGeometricMeanBeed.java

/**
 * @post  getSource() == null;// w ww. j  a v a2s.c  o m
 * @post  getDouble() == null;
 * @post  owner != null ? owner.registerAggregateElement(this);
 */
public DoubleGeometricMeanBeed(AggregateBeed owner) {
    super(new GeometricMean(), owner);
}

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