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

Introduction

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

Prototype

public PascalDistributionImpl(int r, double p) 

Source Link

Document

Create a Pascal distribution with the given number of trials and probability of success.

Usage

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

PascalDistribution getPascalDistribution(int param, double param2) {
    if (pascal == null)
        pascal = new PascalDistributionImpl(param, param2);
    else {//  w w w. j av  a 2s.c  om
        pascal.setNumberOfSuccesses(param);
        pascal.setProbabilityOfSuccess(param2);
    }
    return pascal;
}

---

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

/**
 * @param param/*from   w  w  w .jav  a2  s. co  m*/
 *            number of successes
 * @param param2
 *            prob. of success
 * @return Pascal distribution
 */
protected PascalDistribution getPascalDistribution(int param, double param2) {
    if (pascal == null || pascal.getNumberOfSuccesses() != param || pascal.getProbabilityOfSuccess() != param2)
        pascal = new PascalDistributionImpl(param, param2);

    return pascal;
}

---

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

/**
 * Prepares list1 and list2 for use with probability distribution bar charts
 *//*from  w ww  .  j  a v  a2 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) {
        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
 *///  w  w  w.  j  a v a  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) {
        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 .ja va  2s. c  o  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 dnbinom(final double x, final int size, final double prob, boolean log) {
    return d(new PascalDistributionImpl(size, prob), x, log);
}

---

From source file:org.renjin.Distributions.java

public static double pnbinom(final double x, final int size, final double prob, boolean lowerTail,
        boolean logP) {
    return p(new PascalDistributionImpl(size, prob), x, lowerTail, logP);
}

---

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

public static double dnbinom(@Recycle double x, @Recycle int size, @Recycle double prob, boolean log) {
    return d(new PascalDistributionImpl(size, prob), x, log);
}

---

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

public static double pnbinom(@Recycle double x, @Recycle int size, @Recycle double prob, boolean lowerTail,
        boolean logP) {
    return p(new PascalDistributionImpl(size, prob), x, lowerTail, logP);
}

---

From source file:org.renjin.stats.internals.Distributions.java

@DataParallel
@Internal//from w  w  w. j a va 2  s. c  o m
public static double dnbinom(@Recycle double x, @Recycle int size, @Recycle double prob, boolean log) {
    return d(new PascalDistributionImpl(size, prob), x, log);
}

---

• «
• 1
• 2
• »