Examples of FDistribution

     * is the commons-math implementation of the F distribution.</p>
     */
    public double anovaPValue(Collection<double[]> categoryData)
        throws IllegalArgumentException, MathException {
        AnovaStats a = anovaStats(categoryData);
        FDistribution fdist = new FDistributionImpl(a.dfbg, a.dfwg);
        return 1.0 - fdist.cumulativeProbability(a.F);
    }

Examples of org.apache.commons.math.distribution.FDistribution

     * is the commons-math implementation of the F distribution.</p>
     */
    public double anovaPValue(Collection<double[]> categoryData)
        throws IllegalArgumentException, MathException {
        AnovaStats a = anovaStats(categoryData);
        FDistribution fdist = new FDistributionImpl(a.dfbg, a.dfwg);
        return 1.0 - fdist.cumulativeProbability(a.F);
    }

Examples of org.apache.commons.math.distribution.FDistribution

     * is the commons-math implementation of the F distribution.</p>
     */
    public double anovaPValue(Collection<double[]> categoryData)
        throws IllegalArgumentException, MathException {
        AnovaStats a = anovaStats(categoryData);
        FDistribution fdist = new FDistributionImpl(a.dfbg, a.dfwg);
        return 1.0 - fdist.cumulativeProbability(a.F);
    }

Examples of org.apache.commons.math.distribution.FDistribution

     * is the commons-math implementation of the F distribution.</p>
     */
    public double anovaPValue(Collection categoryData)
        throws IllegalArgumentException, MathException {
        AnovaStats a = anovaStats(categoryData);
        FDistribution fdist = new FDistributionImpl(a.dfbg, a.dfwg);
        return 1.0 - fdist.cumulativeProbability(a.F);
    }

Examples of org.apache.commons.math3.distribution.FDistribution

     * @return random value sampled from the F(numeratorDf, denominatorDf) distribution
     * @throws NotStrictlyPositiveException if
     * {@code numeratorDf <= 0} or {@code denominatorDf <= 0}.
     */
    public double nextF(double numeratorDf, double denominatorDf) throws NotStrictlyPositiveException {
        return new FDistribution(getRandomGenerator(), numeratorDf, denominatorDf,
                FDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY).sample();
    }

Examples of org.apache.commons.math3.distribution.FDistribution

        IntervalUtils.checkParameters(numberOfTrials, numberOfSuccesses, confidenceLevel);
        double lowerBound = 0;
        double upperBound = 0;
        final double alpha = (1.0 - confidenceLevel) / 2.0;


        final FDistribution distributionLowerBound = new FDistribution(2 * (numberOfTrials - numberOfSuccesses + 1),
                                                                       2 * numberOfSuccesses);
        final double fValueLowerBound = distributionLowerBound.inverseCumulativeProbability(1 - alpha);
        if (numberOfSuccesses > 0) {
            lowerBound = numberOfSuccesses /
                         (numberOfSuccesses + (numberOfTrials - numberOfSuccesses + 1) * fValueLowerBound);
        }


        final FDistribution distributionUpperBound = new FDistribution(2 * (numberOfSuccesses + 1),
                                                                       2 * (numberOfTrials - numberOfSuccesses));
        final double fValueUpperBound = distributionUpperBound.inverseCumulativeProbability(1 - alpha);
        if (numberOfSuccesses > 0) {
            upperBound = (numberOfSuccesses + 1) * fValueUpperBound /
                         (numberOfTrials - numberOfSuccesses + (numberOfSuccesses + 1) * fValueUpperBound);
        }

Examples of org.apache.commons.math3.distribution.FDistribution

        ConvergenceException, MaxCountExceededException {


        final AnovaStats a = anovaStats(categoryData);
        // No try-catch or advertised exception because args are valid
        // pass a null rng to avoid unneeded overhead as we will not sample from this distribution
        final FDistribution fdist = new FDistribution(null, a.dfbg, a.dfwg);
        return 1.0 - fdist.cumulativeProbability(a.F);


    }

Examples of org.apache.commons.math3.distribution.FDistribution

        throws NullArgumentException, DimensionMismatchException,
               ConvergenceException, MaxCountExceededException {


        final AnovaStats a = anovaStats(categoryData, allowOneElementData);
        // pass a null rng to avoid unneeded overhead as we will not sample from this distribution
        final FDistribution fdist = new FDistribution(null, a.dfbg, a.dfwg);
        return 1.0 - fdist.cumulativeProbability(a.F);


    }

Examples of org.apache.commons.math3.distribution.FDistribution

        TestUtils.assertChiSquareAccept(expected, counts, 0.001);
    }


    @Test
    public void testNextF() {
        double[] quartiles = TestUtils.getDistributionQuartiles(new FDistribution(12, 5));
        long[] counts = new long[4];
        randomData.reSeed(1000);
        for (int i = 0; i < 1000; i++) {
            double value = randomData.nextF(12, 5);
            TestUtils.updateCounts(value, counts, quartiles);

Examples of org.apache.commons.math3.distribution.FDistribution

     * @param denominatorDf the denominator degrees of freedom of the F distribution
     * @return random value sampled from the F(numeratorDf, denominatorDf) distribution
     * @since 2.2
     */
    public double nextF(double numeratorDf, double denominatorDf) {
        return nextInversionDeviate(new FDistribution(numeratorDf, denominatorDf));
    }