Package org.apache.commons.math.distribution

Examples of org.apache.commons.math.distribution.ChiSquaredDistribution.cumulativeProbability()

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    throws IllegalArgumentException, MathException {
        checkArray(counts);
        double df = ((double) counts.length -1) * ((double) counts[0].length - 1);
        ChiSquaredDistribution chiSquaredDistribution =
            getDistributionFactory().createChiSquareDistribution(df);
        return 1 - chiSquaredDistribution.cumulativeProbability(chiSquare(counts));
    }

    /**
     * @param counts array representation of 2-way table
     * @param alpha significance level of the test
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    public double chiSquareTest(double[] expected, long[] observed)
        throws IllegalArgumentException, MathException {
        ChiSquaredDistribution chiSquaredDistribution =
            getDistributionFactory().createChiSquareDistribution(
                    (double) expected.length - 1);
        return 1 - chiSquaredDistribution.cumulativeProbability(
                chiSquare(expected, observed));
    }

    /**
     * @param observed array of observed frequency counts
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    throws IllegalArgumentException, MathException {
        checkArray(counts);
        double df = ((double) counts.length -1) * ((double) counts[0].length - 1);
        ChiSquaredDistribution chiSquaredDistribution =
            getDistributionFactory().createChiSquareDistribution(df);
        return 1 - chiSquaredDistribution.cumulativeProbability(chiSquare(counts));
    }

    /**
     * @param counts array representation of 2-way table
     * @param alpha significance level of the test
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