Examples of Frequency

com.clowtown.mealplanner.policy.Frequency
com.google.ical.values.Frequency
com.opengamma.financial.convention.frequency.Frequency
Convention for frequency.
Some financial products have a specific event every so often. This convention defines the frequency of those events relative to a year.
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) $
org.apache.commons.math3.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.).

NOTE: byte and short values will be implicitly converted to int values by the compiler, thus there are no explicit overloaded methods for these primitive types.

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.

Float is not coerced to Double. Since they are not Comparable with each other the user must do any necessary coercion. Float.NaN and Double.NaN are not treated specially; they may occur in input and will occur in output if appropriate.
The values are ordered using the default (natural order), unless a Comparator is supplied in the constructor.
org.apache.falcon.entity.v0.Frequency
Frequency as supported in the xsd definitions.
org.apache.ivory.entity.v0.Frequency
org.boris.expr.function.excel.FREQUENCY
org.jquantlib.time.Frequency
org.onebusaway.gtfs.model.Frequency
org.voltdb.compiler.deploymentfile.CommandLogType.Frequency
proj.zoie.hourglass.impl.HourGlassScheduler.FREQUENCY

Examples of com.clowtown.mealplanner.policy.Frequency

  }
  public void actionPerformed(ActionEvent arg0) {
    super.actionPerformed(arg0);
         System.out.println(arg0.getActionCommand());
    if("OK".equalsIgnoreCase(arg0.getActionCommand())){
      Frequency f = dialog.getChosenFrequency();
      ArrayList<Season> s = dialog.getChosenSeasons();
      PolicyEnum[] pe = s.toArray(new PolicyEnum[]{});
      p = new MenuPolicy(pe);
      p.editPolicy(MenuPolicy.ADD, f);
      fireEditingStopped();

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Examples of com.google.ical.values.Frequency

    rrule.setName(rnd.nextInt(4) < 1 ? "EXRULE" : "RRULE");
    // pick a frequency
    // This is stretching the definition of well formed, but we don't do
    // more frequently than daily.
    // TODO: allow more frequently than DAILY. BEFORE SUBMIT
    Frequency freq = FREQS[rnd.nextInt(FREQS.length)];
    rrule.setFreq(freq);


    if (rnd.nextBoolean()) {
      // biased towards the beginning of the week
      rrule.setWkSt(WDAYS[((int) Math.abs(rnd.nextGaussian() / 3) * 7) % 7]);
    }


    if (rnd.nextBoolean()) {
      if (rnd.nextBoolean()) {
        rrule.setCount(1 + ((int) (Math.abs(rnd.nextGaussian() * 10))));
      } else {
        rrule.setUntil(monkeySeeDateValue(maybeNot(timed)));
      }
    }


    rrule.setInterval(
        (int) Math.min(0, Math.abs(rnd.nextGaussian() - .5) * 3) + 1);


    int sparsity = 2 + rnd.nextInt(6);


    boolean allowsByDay = freq.compareTo(Frequency.WEEKLY) >= 0;
    if (0 == rnd.nextInt(sparsity) && maybeNot(allowsByDay)) {
      rrule.setByDay(Arrays.asList(monkeySeeWeekdayNumList(freq)));
    }


    if (0 == rnd.nextInt(sparsity)) {

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Examples of com.opengamma.financial.convention.frequency.Frequency

    Validate.notNull(conventionMaster, "convention master");
    final BusinessDayConvention modified = BusinessDayConventionFactory.INSTANCE.getBusinessDayConvention("Modified Following");
    final BusinessDayConvention following = BusinessDayConventionFactory.INSTANCE.getBusinessDayConvention("Following");
    final DayCount act360 = DayCountFactory.INSTANCE.getDayCount("Actual/360");
    final DayCount thirty360 = DayCountFactory.INSTANCE.getDayCount("30/360");
    final Frequency annual = SimpleFrequencyFactory.INSTANCE.getFrequency(Frequency.ANNUAL_NAME);
    final Frequency semiAnnual = SimpleFrequencyFactory.INSTANCE.getFrequency(Frequency.SEMI_ANNUAL_NAME);
    final Frequency quarterly = SimpleFrequencyFactory.INSTANCE.getFrequency(Frequency.QUARTERLY_NAME);


    final ExternalId dk = ExternalSchemes.financialRegionId("NO");


    final ConventionBundleMasterUtils utils = new ConventionBundleMasterUtils(conventionMaster);

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

    super();
    this.values = values;
  }
  
  Frequency make(IList dataValues){
    Frequency freq = new Frequency();
    for(IValue v : dataValues){
      if(v instanceof INumber)
        freq.addValue(new ComparableValue((INumber)v));
      else if(v instanceof IString)
        freq.addValue(new ComparableValue((IString)v));
      else
        throw RuntimeExceptionFactory.illegalArgument(v,null, null);
    }
    return freq;
  }

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

            randomData.nextInt(4, 3);
            fail("IllegalArgumentException expected");
        } catch (IllegalArgumentException ex) {
            // ignored
        }
        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

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

            randomData.nextLong(4, 3);
            fail("IllegalArgumentException expected");
        } catch (IllegalArgumentException ex) {
            // ignored
        }
        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

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

            randomData.nextSecureLong(4, 3);
            fail("IllegalArgumentException expected");
        } catch (IllegalArgumentException ex) {
            // ignored
        }
        Frequency freq = new Frequency();
        long value = 0;
        for (int i = 0; i < smallSampleSize; i++) {
            value = randomData.nextSecureLong(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

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

            randomData.nextSecureInt(4, 3);
            fail("IllegalArgumentException expected");
        } catch (IllegalArgumentException ex) {
            // ignored
        }
        Frequency freq = new Frequency();
        int value = 0;
        for (int i = 0; i < smallSampleSize; i++) {
            value = randomData.nextSecureInt(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

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

            randomData.nextPoisson(0);
            fail("zero mean -- expecting IllegalArgumentException");
        } catch (IllegalArgumentException ex) {
            // ignored
        }
        Frequency f = new Frequency();
        for (int i = 0; i < largeSampleSize; i++) {
            try {
                f.addValue(randomData.nextPoisson(4.0d));
            } catch (Exception ex) {
                fail(ex.getMessage());
            }
        }
        long cumFreq = f.getCount(0) + f.getCount(1) + f.getCount(2)
                + f.getCount(3) + f.getCount(4) + f.getCount(5);
        long sumFreq = f.getSumFreq();
        double cumPct = Double.valueOf(cumFreq).doubleValue()
                / Double.valueOf(sumFreq).doubleValue();
        assertEquals("cum Poisson(4)", cumPct, 0.7851, 0.2);
        try {
            randomData.nextPoisson(-1);

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

        // Generate sample values
        int sampleSize = 1000;        // Number of deviates to generate
        int minExpectedCount = 7;     // Minimum size of expected bin count
        long maxObservedValue = 0;
        double alpha = 0.001;         // Probability of false failure
        Frequency frequency = new Frequency();
        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.
         *  Start with upper and lower tail bins.
         *  Lower bin = [0, lower); Upper bin = [upper, +inf).
         */
        PoissonDistribution poissonDistribution = new PoissonDistributionImpl(mean);
        int lower = 1;
        while (poissonDistribution.cumulativeProbability(lower - 1) * sampleSize < minExpectedCount) {
            lower++;
        }
        int upper = (int) (5 * mean);  // Even for mean = 1, not much mass beyond 5
        while ((1 - poissonDistribution.cumulativeProbability(upper - 1)) * sampleSize < minExpectedCount) {
            upper--;
        }


        // Set bin width for interior bins.  For poisson, only need to look at end bins.
        int binWidth = 1;
        boolean widthSufficient = false;
        double lowerBinMass = 0;
        double upperBinMass = 0;
        while (!widthSufficient) {
            lowerBinMass = poissonDistribution.cumulativeProbability(lower, lower + binWidth - 1);
            upperBinMass = poissonDistribution.cumulativeProbability(upper - binWidth + 1, upper);
            widthSufficient = Math.min(lowerBinMass, upperBinMass) * sampleSize >= minExpectedCount;
            binWidth++;
        }


        /*
         *  Determine interior bin bounds.  Bins are
         *  [1, lower = binBounds[0]), [lower, binBounds[1]), [binBounds[1], binBounds[2]), ... ,
         *    [binBounds[binCount - 2], upper = binBounds[binCount - 1]), [upper, +inf)
         *
         */
        List<Integer> binBounds = new ArrayList<Integer>();
        binBounds.add(lower);
        int bound = lower + binWidth;
        while (bound < upper - binWidth) {
            binBounds.add(bound);
            bound += binWidth;
        }
        binBounds.add(bound);
        binBounds.add(upper);


        // Compute observed and expected bin counts
        final int binCount = binBounds.size() + 1;
        long[] observed = new long[binCount];
        double[] expected = new double[binCount];


        // Bottom bin
        observed[0] = 0;
        for (int i = 0; i < lower; i++) {
            observed[0] += frequency.getCount(i);
        }
        expected[0] = poissonDistribution.cumulativeProbability(lower - 1) * sampleSize;


        // Top bin
        observed[binCount - 1] = 0;
        for (int i = upper; i <= maxObservedValue; i++) {
            observed[binCount - 1] += frequency.getCount(i);
        }
        expected[binCount - 1] = (1 - poissonDistribution.cumulativeProbability(upper - 1)) * sampleSize;


        // Interior bins
        for (int i = 1; i < binCount - 1; i++) {
            observed[i] = 0;
            for (int j = binBounds.get(i - 1); j < binBounds.get(i); j++) {
                observed[i] += frequency.getCount(j);
            } // Expected count is (mass in [binBounds[i], binBounds[i+1])) * sampleSize
            expected[i] = (poissonDistribution.cumulativeProbability(binBounds.get(i) - 1) -
                poissonDistribution.cumulativeProbability(binBounds.get(i - 1) -1)) * sampleSize;
        }

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