Example usage for org.apache.commons.math.distribution ZipfDistribution cumulativeProbability

Introduction

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

Prototype

double cumulativeProbability(int x) throws MathException;

Source Link

Document

For a random variable X whose values are distributed according to this distribution, this method returns P(X ≤ x).

Usage

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

protected final void compute() {

    if (input[0].isDefined() && input[1].isDefined() && input[2].isDefined()) {
        int param = (int) a.getDouble();
        double param2 = b.getDouble();
        double val = c.getDouble();
        try {/*  ww  w  .j  a  v  a 2  s.  c om*/
            ZipfDistribution dist = getZipfDistribution(param, param2);
            if (isCumulative.getBoolean())
                num.setValue(dist.cumulativeProbability(val)); // P(X <= val)
            else
                num.setValue(dist.probability(val)); // P(X = val)

        } catch (Exception e) {
            num.setUndefined();
        }
    } else
        num.setUndefined();
}

---

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

@Override
public final void compute() {

    if (input[0].isDefined() && input[1].isDefined() && input[2].isDefined()) {
        int param = (int) a.getDouble();
        double param2 = b.getDouble();
        double val = c.getDouble();
        try {//  w  w w .j  a v  a2  s . c o  m
            ZipfDistribution dist = getZipfDistribution(param, param2);
            if (isCumulative.getBoolean())
                num.setValue(dist.cumulativeProbability(val)); // P(X <=
            // val)
            else
                num.setValue(dist.probability(val)); // P(X = val)

        } catch (Exception e) {
            num.setUndefined();
        }
    } else
        num.setUndefined();
}

---