Examples of RandomData


Examples of org.apache.commons.math.random.RandomData

     * @return rectangular array with rows = subsamples
     */
    private double[][] generatePartition(double[] sample) {
        final int length = sample.length;
        final double[][] out = new double[5][];
        final RandomData randomData = new RandomDataImpl();
        int cur = 0;
        int offset = 0;
        int sampleCount = 0;
        for (int i = 0; i < 5; i++) {
            if (cur == length || offset == length) {
                break;
            }
            final int next = (i == 4 || cur == length - 1) ? length - 1 : randomData.nextInt(cur, length - 1);
            final int subLength = next - cur + 1;
            out[i] = new double[subLength];
            System.arraycopy(sample, offset, out[i], 0, subLength);
            cur = next + 1;
            sampleCount++;
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Examples of org.apache.commons.math.random.RandomData

        final int len = 10;        // length of values array
        final double mu = 0;       // mean of test data
        final double sigma = 5;    // std dev of test data
        double[] values = new double[len];
        double[] weights = new double[len];
        RandomData randomData = new RandomDataImpl();

        // Fill weights array with random int values between 1 and 5
        int[] intWeights = new int[len];
        for (int i = 0; i < len; i++) {
            intWeights[i] = randomData.nextInt(1, 5);
            weights[i] = intWeights[i];
        }

        // Fill values array with random data from N(mu, sigma)
        // and fill valuesList with values from values array with
        // values[i] repeated weights[i] times, each i
        List<Double> valuesList = new ArrayList<Double>();
        for (int i = 0; i < len; i++) {
            double value = randomData.nextGaussian(mu, sigma);
            values[i] = value;
            for (int j = 0; j < intWeights[i]; j++) {
                valuesList.add(new Double(value));
            }
        }
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Examples of org.apache.commons.math.random.RandomData

    public void testWithInitialCapacity() {
       
        ResizableDoubleArray eDA2 = new ResizableDoubleArray(2);
        assertEquals("Initial number of elements should be 0", 0, eDA2.getNumElements());
       
        RandomData randomData = new RandomDataImpl();
        int iterations = randomData.nextInt(100, 1000);
       
        for( int i = 0; i < iterations; i++) {
            eDA2.addElement( i );
        }
       
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Examples of org.apache.commons.math.random.RandomData

    public void testWithInitialCapacityAndExpansionFactor() {
       
        ResizableDoubleArray eDA3 = new ResizableDoubleArray(3, 3.0f, 3.5f);
        assertEquals("Initial number of elements should be 0", 0, eDA3.getNumElements() );
       
        RandomData randomData = new RandomDataImpl();
        int iterations = randomData.nextInt(100, 3000);
       
        for( int i = 0; i < iterations; i++) {
            eDA3.addElement( i );
        }
       
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Examples of org.apache.commons.math.random.RandomData

     * uniformly distributed over [-100, 100].
     *
     * @return array of random double values
     */
    private double[] generateSample() {
        final RandomData randomData = new RandomDataImpl();
        final int sampleSize = randomData.nextInt(10,100);
        double[] out = new double[sampleSize];
        for (int i = 0; i < out.length; i++) {
            out[i] = randomData.nextUniform(-100, 100);
        }
        return out;    
    }
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Examples of org.apache.commons.math.random.RandomData

     * @return rectangular array with rows = subsamples
     */
    private double[][] generatePartition(double[] sample) {
        final int length = sample.length;
        final double[][] out = new double[5][];
        final RandomData randomData = new RandomDataImpl();
        int cur = 0;
        int offset = 0;
        int sampleCount = 0;
        for (int i = 0; i < 5; i++) {
            if (cur == length || offset == length) {
                break;
            }
            final int next = (i == 4 || cur == length - 1) ? length - 1 : randomData.nextInt(cur, length - 1);
            final int subLength = next - cur + 1;
            out[i] = new double[subLength];
            System.arraycopy(sample, offset, out[i], 0, subLength);
            cur = next + 1;
            sampleCount++;
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Examples of org.apache.commons.math.random.RandomData

        double[] test1 = {5,4,3,2,1};
        double[] test2 = {5,2,1,3,4,0};
        double[] test3 = {1};
        int[] testi = null;
        double[] test4 = null;
        RandomData rd = new RandomDataImpl();
        tstGetSortedValues(test1);
        tstGetSortedValues(test2);
        tstGetSortedValues(test3);
        for (int i = 0; i < 10; i++) {
            testi = rd.nextPermutation(10,6);
            test4 = new double[6];
            for (int j = 0; j < testi.length; j++) {
                test4[j] = (double) testi[j];
            }
            tstGetSortedValues(test4);
        }
        for (int i = 0; i < 10; i++) {
            testi = rd.nextPermutation(10,5);
            test4 = new double[5];
            for (int j = 0; j < testi.length; j++) {
                test4[j] = (double) testi[j];
            }
            tstGetSortedValues(test4);
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Examples of org.apache.commons.math.random.RandomData

        assertEquals("Q1",1,u.getPercentile(25),10E-12);
        assertEquals("Q3",1,u.getPercentile(75),10E-12);
        assertEquals("Q2",1,u.getPercentile(50),10E-12);
       
        u.clear();
        RandomData rd = new RandomDataImpl();
        int[] testi = rd.nextPermutation(100,100); // will contain 0-99
        for (int j = 0; j < testi.length; j++) {
            u.addValue((double) testi[j])//OK, laugh at me for the cast
        }
        for (int i = 1; i < 100; i++) {
            assertEquals("percentile " + i,
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Examples of org.apache.commons.math.random.RandomData

        double[] test1 = {5,4,3,2,1};
        double[] test2 = {5,2,1,3,4,0};
        double[] test3 = {1};
        int[] testi = null;
        double[] test4 = null;
        RandomData rd = new RandomDataImpl();
        tstGetSortedValues(test1);
        tstGetSortedValues(test2);
        tstGetSortedValues(test3);
        for (int i = 0; i < 10; i++) {
            testi = rd.nextPermutation(10,6);
            test4 = new double[6];
            for (int j = 0; j < testi.length; j++) {
                test4[j] = (double) testi[j];
            }
            tstGetSortedValues(test4);
        }
        for (int i = 0; i < 10; i++) {
            testi = rd.nextPermutation(10,5);
            test4 = new double[5];
            for (int j = 0; j < testi.length; j++) {
                test4[j] = (double) testi[j];
            }
            tstGetSortedValues(test4);
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Examples of org.apache.commons.math.random.RandomData

        assertEquals("Q1",1,u.getPercentile(25),10E-12);
        assertEquals("Q3",1,u.getPercentile(75),10E-12);
        assertEquals("Q2",1,u.getPercentile(50),10E-12);
       
        u.clear();
        RandomData rd = new RandomDataImpl();
        int[] testi = rd.nextPermutation(100,100); // will contain 0-99
        for (int j = 0; j < testi.length; j++) {
            u.addValue((double) testi[j])//OK, laugh at me for the cast
        }
        for (int i = 1; i < 100; i++) {
            assertEquals("percentile " + i,
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