Examples of org.apache.commons.math.stat.Frequency

org.apache.commons.math.stat.Frequency
Maintains a frequency distribution.
Accepts int, long, char or Comparable values. New values added must be comparable to those that have been added, otherwise the add method will throw an IllegalArgumentException.

Integer values (int, long, Integer, Long) are not distinguished by type -- i.e. addValue(Long.valueOf(2)), addValue(2), addValue(2l) all have the same effect (similarly for arguments to getCount, etc.).

char values are converted by addValue to Character instances. As such, these values are not comparable to integral values, so attempts to combine integral types with chars in a frequency distribution will fail.

The values are ordered using the default (natural order), unless a Comparator is supplied in the constructor.
@version $Revision: 1054186 $ $Date: 2011-01-01 03:28:46 +0100 (sam. 01 janv. 2011) $

    public void testNextLong() {
        long q1 = Long.MAX_VALUE/4;
        long q2 = 2 *  q1;
        long q3 = 3 * q1;


        Frequency freq = new Frequency();
        long val = 0;
        int value = 0;
        for (int i=0; i<smallSampleSize; i++) {
            val = testGenerator.nextLong();
            if (val < q1) {
                value = 0;
            } else if (val < q2) {
                value = 1;
            } 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);
        }


        /* Use ChiSquare dist with df = 4-1 = 3, alpha = .001
         * Change to 11.34 for alpha = .01
         */

View Full Code Here

        assertTrue("chi-square test -- will fail about 1 in 1000 times",
                testStatistic.chiSquare(expected,observed) < 10.828);
    }


    public void testNextFloat() {
        Frequency freq = new Frequency();
        float val = 0;
        int value = 0;
        for (int i=0; i<smallSampleSize; i++) {
            val = testGenerator.nextFloat();
            if (val < 0.25) {
                value = 0;
            } else if (val < 0.5) {
                value = 1;
            } 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);
        }


        /* Use ChiSquare dist with df = 4-1 = 3, alpha = .001
         * Change to 11.34 for alpha = .01
         */

View Full Code Here

   * Return a commons math Frequency class which is contructed from double array d
   * @param d samples
   * @return a Frequency class which is contructed from double array d
   */
  public static Frequency getFreq(double[] d){
    Frequency f = new Frequency();
    for(int i =0; i < d.length; i++){
      f.addValue(new Double(d[i]));
    }
    return f;
  }

View Full Code Here

            ;
        }
        if (hexString.length() != 1) {
                fail("incorrect length for generated string");
        }      
        Frequency f = new Frequency();
        for (int i = 0; i < smallSampleSize; i++) {
            hexString = randomData.nextHexString(100);
            if (hexString.length() != 100) {
                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++) {
            expected[i] = (double)smallSampleSize*100/(double)16;
            observed[i] = f.getCount(hex[i]);
        }
        /* Use ChiSquare dist with df = 16-1 = 15, alpha = .001
         * Change to 30.58 for alpha = .01
         */
        assertTrue("chi-square test -- will fail about 1 in 1000 times",

View Full Code Here

            ;
        }
        if (hexString.length() != 1) {
                fail("incorrect length for generated string");
        }      
        Frequency f = new Frequency();
        for (int i = 0; i < smallSampleSize; i++) {
            hexString = randomData.nextSecureHexString(100);
            if (hexString.length() != 100) {
                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++) {
            expected[i] = (double)smallSampleSize*100/(double)16;
            observed[i] = f.getCount(hex[i]);
        }
        /* Use ChiSquare dist with df = 16-1 = 15, alpha = .001
         * Change to 30.58 for alpha = .01
         */
        assertTrue("chi-square test -- will fail about 1 in 1000 times",

View Full Code Here

            int x = testGenerator.nextInt(-1);
            fail("IllegalArgumentException expected");
        } catch (IllegalArgumentException ex) {
            ;
        }
        Frequency freq = new Frequency();
        int value = 0;
        for (int i=0; i<smallSampleSize; i++) {
            value = testGenerator.nextInt(4);
            assertTrue("nextInt range",(value >= 0) && (value <= 3));
            freq.addValue(value);  
        }
        long[] observed = new long[4];
        for (int i=0; i<4; i++) {
            observed[i] = freq.getCount(i);
        } 
        
        /* Use ChiSquare dist with df = 4-1 = 3, alpha = .001
         * Change to 11.34 for alpha = .01
         */

View Full Code Here

    public void testNextLong() {
        long q1 = Long.MAX_VALUE/4;
        long q2 = 2 *  q1;
        long q3 = 3 * q1;
        
        Frequency freq = new Frequency();
        long val = 0;
        int value = 0;
        for (int i=0; i<smallSampleSize; i++) {
            val = testGenerator.nextLong();
            if (val < q1) {
                value = 0;
            } else if (val < q2) {
                value = 1;
            } 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);
        } 
        
        /* Use ChiSquare dist with df = 4-1 = 3, alpha = .001
         * Change to 11.34 for alpha = .01
         */

View Full Code Here

        assertTrue("chi-square test -- will fail about 1 in 1000 times",
                testStatistic.chiSquare(expected,observed) < 10.828);    
    }
    
    public void testNextFloat() {
        Frequency freq = new Frequency();
        float val = 0;
        int value = 0;
        for (int i=0; i<smallSampleSize; i++) {
            val = testGenerator.nextFloat();
            if (val < 0.25) {
                value = 0;
            } else if (val < 0.5) {
                value = 1;
            } 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);
        } 
        
        /* Use ChiSquare dist with df = 4-1 = 3, alpha = .001
         * Change to 11.34 for alpha = .01
         */

View Full Code Here

            int x = randomData.nextInt(4,3);
            fail("IllegalArgumentException expected");
        } catch (IllegalArgumentException ex) {
            ;
        }
        Frequency freq = new Frequency();
        int value = 0;
        for (int i=0;i<smallSampleSize;i++) {
            value = randomData.nextInt(0,3);
            assertTrue("nextInt range",(value >= 0) && (value <= 3));
            freq.addValue(value);  
        }
        long[] observed = new long[4];
        for (int i=0; i<4; i++) {
            observed[i] = freq.getCount(i);
        } 
        
        /* Use ChiSquare dist with df = 4-1 = 3, alpha = .001
         * Change to 11.34 for alpha = .01
         */

View Full Code Here

            long x = randomData.nextLong(4,3);
            fail("IllegalArgumentException expected");
        } catch (IllegalArgumentException ex) {
            ;
        }
       Frequency freq = new Frequency();
       long value = 0;
        for (int i=0;i<smallSampleSize;i++) {
            value = randomData.nextLong(0,3);
            assertTrue("nextInt range",(value >= 0) && (value <= 3));
            freq.addValue(value);  
        }
        long[] observed = new long[4];
        for (int i=0; i<4; i++) {
            observed[i] = freq.getCount(i);
        } 
        
        /* Use ChiSquare dist with df = 4-1 = 3, alpha = .001
         * Change to 11.34 for alpha = .01
         */

View Full Code Here

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