Example usage for org.apache.commons.math.stat.descriptive DescriptiveStatistics DescriptiveStatistics

Introduction

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

Prototype

public DescriptiveStatistics()

Source Link

Document

Construct a DescriptiveStatistics instance with an infinite window

Usage

From source file:org.jgap.gp.function.Mean.java

@Override
public double execute_double(ProgramChromosome c, int n, Object[] args) {
    int size = size();
    DescriptiveStatistics stats = new DescriptiveStatistics();
    for (int i = 0; i < size; i++) {
        stats.addValue(c.execute_double(n, i, args));
    }//from www.j  ava  2 s.c om
    return stats.getMean();
}

From source file:org.jgap.gp.function.statistics.Kurtosis.java

@Override
public double execute_double(ProgramChromosome c, int n, Object[] args) {
    int size = size();
    DescriptiveStatistics stats = new DescriptiveStatistics();
    for (int i = 0; i < size; i++) {
        stats.addValue(c.execute_double(n, i, args));
    }//from  w w w .  j av  a  2  s .co m
    return stats.getKurtosis();
}

From source file:org.jgap.gp.function.statistics.Kurtosis.java

@Override
public float execute_float(ProgramChromosome c, int n, Object[] args) {
    int size = size();
    DescriptiveStatistics stats = new DescriptiveStatistics();
    for (int i = 0; i < size; i++) {
        stats.addValue(c.execute_float(n, i, args));
    }/*from w ww  .j  a  va2  s.co m*/
    return (float) stats.getKurtosis();
}

From source file:org.jgap.gp.function.statistics.Skewness.java

@Override
public double execute_double(ProgramChromosome c, int n, Object[] args) {
    int size = size();
    DescriptiveStatistics stats = new DescriptiveStatistics();
    for (int i = 0; i < size; i++) {
        stats.addValue(c.execute_double(n, i, args));
    }//w  ww  . j a  v  a  2  s  .c o m
    return stats.getSkewness();
}

From source file:org.jgap.gp.function.statistics.Skewness.java

@Override
public float execute_float(ProgramChromosome c, int n, Object[] args) {
    int size = size();
    DescriptiveStatistics stats = new DescriptiveStatistics();
    for (int i = 0; i < size; i++) {
        stats.addValue(c.execute_float(n, i, args));
    }//from   www  .j av  a 2  s. c  o  m
    return (float) stats.getSkewness();
}

From source file:org.jgap.gp.function.statistics.StandardDeviation.java

@Override
public double execute_double(ProgramChromosome c, int n, Object[] args) {
    int size = size();
    DescriptiveStatistics stats = new DescriptiveStatistics();
    for (int i = 0; i < size; i++) {
        stats.addValue(c.execute_double(n, i, args));
    }//from   w ww. j  a  v  a  2 s .co  m
    return stats.getStandardDeviation();
}

From source file:org.jgap.gp.function.statistics.StandardDeviation.java

@Override
public float execute_float(ProgramChromosome c, int n, Object[] args) {
    int size = size();
    DescriptiveStatistics stats = new DescriptiveStatistics();
    for (int i = 0; i < size; i++) {
        stats.addValue(c.execute_float(n, i, args));
    }/* w  w w. j  a v a2  s  .  c  o m*/
    return (float) stats.getStandardDeviation();
}

From source file:org.jgap.gp.function.statistics.Variance.java

@Override
public double execute_double(ProgramChromosome c, int n, Object[] args) {
    int size = size();
    DescriptiveStatistics stats = new DescriptiveStatistics();
    for (int i = 0; i < size; i++) {
        stats.addValue(c.execute_double(n, i, args));
    }/* w w  w  . j a v a  2  s .c  om*/
    return stats.getVariance();
}

From source file:org.jgap.gp.function.statistics.Variance.java

@Override
public float execute_float(ProgramChromosome c, int n, Object[] args) {
    int size = size();
    DescriptiveStatistics stats = new DescriptiveStatistics();
    for (int i = 0; i < size; i++) {
        stats.addValue(c.execute_float(n, i, args));
    }/*from   www  .ja va  2 s  .  c  o  m*/
    return (float) stats.getVariance();
}

From source file:org.matsim.contrib.common.stats.Correlations.java

/**
 * /*  w w w .  jav  a 2  s .  co  m*/
 * @param valuesX
 *            a set of values.
 * @param valuesY
 *            a set of values.
 * @param discretizer
 *            a discretizer applied to the elements of <tt>valuesX</tt>.
 * @return a map where the keys are the elements of <tt>valuesX</tt> and
 *         where the values are descriptive statistics objects of a subset
 *         of <tt>valuesY</tt> the index of which is equal to elements of
 *         <tt>valuesX</tt> with equal value. The elements of
 *         <tt>valuesX</tt> are discretized with <tt>discretizer</tt>.
 */
public static TDoubleObjectHashMap<DescriptiveStatistics> statistics(double[] valuesX, double[] valuesY,
        Discretizer discretizer) {
    if (valuesX.length != valuesY.length)
        throw new IllegalArgumentException("Both arrays must not differ in size!");

    TDoubleObjectHashMap<DescriptiveStatistics> map = new TDoubleObjectHashMap<DescriptiveStatistics>();

    for (int i = 0; i < valuesX.length; i++) {
        double x = discretizer.discretize(valuesX[i]);
        DescriptiveStatistics stats = map.get(x);
        if (stats == null) {
            stats = new DescriptiveStatistics();
            map.put(x, stats);
        }
        stats.addValue(valuesY[i]);
    }

    return map;
}