Example usage for org.apache.commons.math.distribution HypergeometricDistributionImpl HypergeometricDistributionImpl

List of usage examples for org.apache.commons.math.distribution HypergeometricDistributionImpl HypergeometricDistributionImpl

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Introduction

In this page you can find the example usage for org.apache.commons.math.distribution HypergeometricDistributionImpl HypergeometricDistributionImpl.

Prototype

public HypergeometricDistributionImpl(int populationSize, int numberOfSuccesses, int sampleSize)

Source Link

Document

Construct a new hypergeometric distribution with the given the population size, the number of successes in the population, and the sample size.

Usage

From source file:desmoj.core.dist.DiscreteDistHypergeo.java

/**
 * Creates a stream of pseudo random numbers following a Hypergeometrical
 * distribution. The specific parameters N (set size), n (marked amount) and
 * k (subset size) have to be given here at creation time.
 * //from ww w . j  a v a 2 s  .  c  om
 * @param owner
 *            Model : The distribution's owner
 * @param name
 *            java.lang.String : The distribution's name
 * @param setSize
 *            int : The size of the underlying set.
 * @param markedAmount
 *            int : The amount of marked objects within the underlying set.
 * @param subsetSize
 *            int : The size of the random subset of the underlying set.
 * @param showInReport
 *            boolean : Flag for producing reports
 * @param showInTrace
 *            boolean : Flag for producing trace output
 */
public DiscreteDistHypergeo(Model owner, String name, int setSize, int markedAmount, int subsetSize,
        boolean showInReport, boolean showInTrace) {
    super(owner, name, showInReport, showInTrace);
    this.setSize = setSize;
    this.markedAmount = markedAmount;
    this.subsetSize = subsetSize;
    valueList = new ArrayList<Entry>();
    Entry e;

    HypergeometricDistribution hgdist = new HypergeometricDistributionImpl(setSize, markedAmount, subsetSize);
    for (int i = 0; i <= this.subsetSize; i++) {
        try {
            e = new Entry(i, hgdist.cumulativeProbability(i));
            valueList.add(e);

        } catch (MathException e1) {
            sendWarning(
                    "Failed to compute cumulative Probability of value " + Integer.toString(i)
                            + ", entry ignored",
                    "CustomContDist : " + getName() + " at construction time",
                    "Impossible to compute cumulative Probability",
                    "Make sure the subset size as well as the amount of successes are smaller than the main set size");
        }
    }

}

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

HypergeometricDistribution getHypergeometricDistribution(int param, int param2, int param3) {
    if (hypergeometric == null)
        hypergeometric = new HypergeometricDistributionImpl(param, param2, param3);
    else {/*from w ww  .jav a 2 s.  c o  m*/
        hypergeometric.setPopulationSize(param);
        hypergeometric.setNumberOfSuccesses(param2);
        hypergeometric.setSampleSize(param3);
    }
    return hypergeometric;
}

From source file:geogebra.common.kernel.statistics.AlgoDistribution.java

/**
 * @param param//from  www  .  ja v  a 2 s.com
 *            population size
 * @param param2
 *            number of successes
 * @param param3
 *            sample size
 * @return hypergeometric distribution
 */
protected HypergeometricDistribution getHypergeometricDistribution(int param, int param2, int param3) {
    if (hypergeometric == null || hypergeometric.getNumberOfSuccesses() != param2
            || hypergeometric.getPopulationSize() != param || hypergeometric.getSampleSize() != param3)
        hypergeometric = new HypergeometricDistributionImpl(param, param2, param3);

    return hypergeometric;
}

From source file:geogebra.common.kernel.algos.AlgoBarChart.java

/**
 * Prepares list1 and list2 for use with probability distribution bar charts
 *//*from  w  w w .j a  va 2 s  .  c  om*/
private boolean prepareDistributionLists() {
    IntegerDistribution dist = null;
    int first = 0, last = 0;
    try {
        // get the distribution and the first, last list values for given
        // distribution type
        switch (type) {
        case TYPE_BARCHART_BINOMIAL:
            if (!(p1geo.isDefined() && p2geo.isDefined()))
                return false;
            int n = (int) Math.round(p1.getDouble());
            double p = p2.getDouble();
            dist = new BinomialDistributionImpl(n, p);
            first = 0;
            last = n;
            break;

        case TYPE_BARCHART_PASCAL:
            if (!(p1geo.isDefined() && p2geo.isDefined()))
                return false;
            n = (int) Math.round(p1.getDouble());
            p = p2.getDouble();
            dist = new PascalDistributionImpl(n, p);

            first = 0;
            last = (int) Math.max(1, (kernel).getXmax() + 1);
            break;
        case TYPE_BARCHART_ZIPF:
            if (!(p1geo.isDefined() && p2geo.isDefined()))
                return false;
            n = (int) Math.round(p1.getDouble());
            p = p2.getDouble();
            dist = new ZipfDistributionImpl(n, p);

            first = 0;
            last = n;
            break;
        case TYPE_BARCHART_POISSON:
            if (!p1geo.isDefined())
                return false;
            double lambda = p1.getDouble();
            dist = new PoissonDistributionImpl(lambda);
            first = 0;
            last = (int) Math.max(1, kernel.getXmax() + 1);
            break;

        case TYPE_BARCHART_HYPERGEOMETRIC:
            if (!(p1geo.isDefined() && p2geo.isDefined() && p3geo.isDefined()))
                return false;
            int pop = (int) p1.getDouble();
            int successes = (int) p2.getDouble();
            int sample = (int) p3.getDouble();
            dist = new HypergeometricDistributionImpl(pop, successes, sample);
            first = Math.max(0, successes + sample - pop);
            last = Math.min(successes, sample);
            break;
        }

        // load class list and probability list
        loadDistributionLists(first, last, dist);
    }

    catch (Exception e) {
        App.debug(e.getMessage());
        return false;
    }

    return true;
}

From source file:geogebra.kernel.AlgoFunctionAreaSums.java

/**
 * Prepares list1 and list2 for use with probability distribution bar charts
 *//* ww  w  . ja  va 2  s .co  m*/
private boolean prepareDistributionLists() {
    IntegerDistribution dist = null;
    int first = 0, last = 0;
    try {
        // get the distribution and the first, last list values for given distribution type
        switch (type) {
        case TYPE_BARCHART_BINOMIAL:
            if (!(p1geo.isDefined() && p2geo.isDefined()))
                return false;
            int n = (int) Math.round(p1.getDouble());
            double p = p2.getDouble();
            dist = new BinomialDistributionImpl(n, p);
            first = 0;
            last = n;
            break;

        case TYPE_BARCHART_PASCAL:
            if (!(p1geo.isDefined() && p2geo.isDefined()))
                return false;
            n = (int) Math.round(p1.getDouble());
            p = p2.getDouble();
            dist = new PascalDistributionImpl(n, p);

            first = 0;
            last = (int) Math.max(1, kernel.getXmax() + 1);
            break;
        case TYPE_BARCHART_ZIPF:
            if (!(p1geo.isDefined() && p2geo.isDefined()))
                return false;
            n = (int) Math.round(p1.getDouble());
            p = p2.getDouble();
            dist = new ZipfDistributionImpl(n, p);

            first = 0;
            last = n;
            break;
        case TYPE_BARCHART_POISSON:
            if (!p1geo.isDefined())
                return false;
            double lambda = p1.getDouble();
            dist = new PoissonDistributionImpl(lambda);
            first = 0;
            last = (int) Math.max(1, kernel.getXmax() + 1);
            break;

        case TYPE_BARCHART_HYPERGEOMETRIC:
            if (!(p1geo.isDefined() && p2geo.isDefined() && p3geo.isDefined()))
                return false;
            int pop = (int) p1.getDouble();
            int successes = (int) p2.getDouble();
            int sample = (int) p3.getDouble();
            dist = new HypergeometricDistributionImpl(pop, successes, sample);
            first = Math.max(0, successes + sample - pop);
            last = Math.min(successes, sample);
            break;
        }

        // load class list and probability list
        loadDistributionLists(first, last, dist);
    }

    catch (Exception e) {
        Application.debug(e.getMessage());
        return false;
    }

    return true;
}

From source file:geogebra.common.kernel.algos.AlgoFunctionAreaSums.java

/**
 * Prepares list1 and list2 for use with probability distribution bar charts
 *///from   w ww .j av a 2  s  . co m
private boolean prepareDistributionLists() {
    IntegerDistribution dist = null;
    int first = 0, last = 0;
    try {
        // get the distribution and the first, last list values for given
        // distribution type
        switch (type) {
        case BARCHART_BINOMIAL:
            if (!(p1geo.isDefined() && p2geo.isDefined()))
                return false;
            int n = (int) Math.round(p1.getDouble());
            double p = p2.getDouble();
            dist = new BinomialDistributionImpl(n, p);
            first = 0;
            last = n;
            break;

        case BARCHART_PASCAL:
            if (!(p1geo.isDefined() && p2geo.isDefined()))
                return false;
            n = (int) Math.round(p1.getDouble());
            p = p2.getDouble();
            dist = new PascalDistributionImpl(n, p);

            first = 0;
            last = (int) Math.max(1, (kernel).getXmax() + 1);
            break;
        case BARCHART_ZIPF:
            if (!(p1geo.isDefined() && p2geo.isDefined()))
                return false;
            n = (int) Math.round(p1.getDouble());
            p = p2.getDouble();
            dist = new ZipfDistributionImpl(n, p);

            first = 0;
            last = n;
            break;
        case BARCHART_POISSON:
            if (!p1geo.isDefined())
                return false;
            double lambda = p1.getDouble();
            dist = new PoissonDistributionImpl(lambda);
            first = 0;
            last = (int) Math.max(1, kernel.getXmax() + 1);
            break;

        case BARCHART_HYPERGEOMETRIC:
            if (!(p1geo.isDefined() && p2geo.isDefined() && p3geo.isDefined()))
                return false;
            int pop = (int) p1.getDouble();
            int successes = (int) p2.getDouble();
            int sample = (int) p3.getDouble();
            dist = new HypergeometricDistributionImpl(pop, successes, sample);
            first = Math.max(0, successes + sample - pop);
            last = Math.min(successes, sample);
            break;
        }

        // load class list and probability list
        loadDistributionLists(first, last, dist);
    }

    catch (Exception e) {
        App.debug(e.getMessage());
        return false;
    }

    return true;
}

From source file:org.renjin.Distributions.java

public static double dhyper(final double x, final double whiteBalls, final double blackBalls,
        final double sampleSize, boolean log) {
    return d(new HypergeometricDistributionImpl((int) (whiteBalls + blackBalls), (int) whiteBalls,
            (int) sampleSize), x, log);
}

From source file:org.renjin.Distributions.java

public static double phyper(final double q, final double x, final double whiteBalls, final double blackBalls,
        final double sampleSize, boolean lowerTail, boolean logP) {
    return p(new HypergeometricDistributionImpl((int) (whiteBalls + blackBalls), (int) whiteBalls,
            (int) sampleSize), q, lowerTail, logP);
}

From source file:org.renjin.Distributions.java

public static double qhyper(double p, double m, double n, double k, boolean lowerTail, boolean logP) {
    return q(new HypergeometricDistributionImpl((int) m, (int) n, (int) k), p, lowerTail, logP);
}

From source file:org.renjin.primitives.random.Distributions.java

public static double dhyper(@Recycle double x, @Recycle double whiteBalls, @Recycle double blackBalls,
        @Recycle double sampleSize, boolean log) {
    return d(new HypergeometricDistributionImpl((int) (whiteBalls + blackBalls), (int) whiteBalls,
            (int) sampleSize), x, log);
}