Examples of org.apache.commons.math3.stat.Frequency.addValue()

Class org.apache.commons.math3.stat.Frequency

Examples of org.apache.commons.math3.stat.Frequency.addValue()

org.apache.commons.math3.stat.Frequency.addValue()
Adds 1 to the frequency count for v.
If other objects have already been added to this Frequency, v must be comparable to those that have already been added.
@param v the value to add. @throws MathIllegalArgumentException if v is not comparable with previous entries

            } else if (val < 0.75) {
                value = 2;
            } else {
                value = 3;
            }
            freq.addValue(value);
        }
        long[] observed = new long[4];
        for (int i=0; i<4; i++) {
            observed[i] = freq.getCount(i);
        }

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            } else if (val < q3) {
                value = 2;
            } else {
                value = 3;
            }
            freq.addValue(value);
        }
        long[] observed = new long[4];
        for (int i=0; i<4; i++) {
            observed[i] = freq.getCount(i);
        }

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            } else if (val < 0.75) {
                value = 2;
            } else {
                value = 3;
            }
            freq.addValue(value);
        }
        long[] observed = new long[4];
        for (int i=0; i<4; i++) {
            observed[i] = freq.getCount(i);
        }

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    private void checkNextIntUniform(int min, int max) {
        final Frequency freq = new Frequency();
        for (int i = 0; i < smallSampleSize; i++) {
            final int value = randomData.nextInt(min, max);
            Assert.assertTrue("nextInt range", (value >= min) && (value <= max));
            freq.addValue(value);
        }
        final int len = max - min + 1;
        final long[] observed = new long[len];
        for (int i = 0; i < len; i++) {
            observed[i] = freq.getCount(min + i);

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        final Frequency freq = new Frequency();
        for (int i = 0; i < smallSampleSize; i++) {
            final long value = randomData.nextLong(min, max);
            Assert.assertTrue("nextLong range: " + value + " " + min + " " + max,
                              (value >= min) && (value <= max));
            freq.addValue(value);
        }
        final int len = ((int) (max - min)) + 1;
        final long[] observed = new long[len];
        for (int i = 0; i < len; i++) {
            observed[i] = freq.getCount(min + i);

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    private void checkNextSecureLongUniform(int min, int max) {
        final Frequency freq = new Frequency();
        for (int i = 0; i < smallSampleSize; i++) {
            final long value = randomData.nextSecureLong(min, max);
            Assert.assertTrue("nextLong range", (value >= min) && (value <= max));
            freq.addValue(value);
        }
        final int len = max - min + 1;
        final long[] observed = new long[len];
        for (int i = 0; i < len; i++) {
            observed[i] = freq.getCount(min + i);

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    private void checkNextSecureIntUniform(int min, int max) {
        final Frequency freq = new Frequency();
        for (int i = 0; i < smallSampleSize; i++) {
            final int value = randomData.nextSecureInt(min, max);
            Assert.assertTrue("nextInt range", (value >= min) && (value <= max));
            freq.addValue(value);
        }
        final int len = max - min + 1;
        final long[] observed = new long[len];
        for (int i = 0; i < len; i++) {
            observed[i] = freq.getCount(min + i);

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        final int len = 5;
        PoissonDistribution poissonDistribution = new PoissonDistribution(mean);
        Frequency f = new Frequency();
        randomData.reSeed(1000);
        for (int i = 0; i < largeSampleSize; i++) {
            f.addValue(randomData.nextPoisson(mean));
        }
        final long[] observed = new long[len];
        for (int i = 0; i < len; i++) {
            observed[i] = f.getCount(i + 1);
        }

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        for (int i = 0; i < sampleSize; i++) {
            long value = randomData.nextPoisson(mean);
            if (value > maxObservedValue) {
                maxObservedValue = value;
            }
            frequency.addValue(value);
        }


        /*
         *  Set up bins for chi-square test.
         *  Ensure expected counts are all at least minExpectedCount.

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            hexString = randomData.nextHexString(100);
            if (hexString.length() != 100) {
                Assert.fail("incorrect length for generated string");
            }
            for (int j = 0; j < hexString.length(); j++) {
                f.addValue(hexString.substring(j, j + 1));
            }
        }
        double[] expected = new double[16];
        long[] observed = new long[16];
        for (int i = 0; i < 16; i++) {

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