Package org.apache.commons.math.distribution

Examples of org.apache.commons.math.distribution.ZipfDistributionImpl

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     * @return random value sampled from the Zipf(numberOfElements, exponent) distribution
     * @throws MathException if an error occurs generating the random value
     * @since 2.2
     */
    public int nextZipf(int numberOfElements, double exponent) throws MathException {
        return nextInversionDeviate(new ZipfDistributionImpl(numberOfElements, exponent));
    }
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        ZipfDistributionTest testInstance = new ZipfDistributionTest("");
        int[] densityPoints = testInstance.makeDensityTestPoints();
        double[] densityValues = testInstance.makeDensityTestValues();
        int sampleSize = 1000;
        int length = TestUtils.eliminateZeroMassPoints(densityPoints, densityValues);
        ZipfDistributionImpl distribution = (ZipfDistributionImpl) testInstance.makeDistribution();
        double[] expectedCounts = new double[length];
        long[] observedCounts = new long[length];
        for (int i = 0; i < length; i++) {
            expectedCounts[i] = sampleSize * densityValues[i];
        }
        randomData.reSeed(1000);
        for (int i = 0; i < sampleSize; i++) {
          int value = randomData.nextZipf(distribution.getNumberOfElements(), distribution.getExponent());
          for (int j = 0; j < length; j++) {
              if (value == densityPoints[j]) {
                  observedCounts[j]++;
              }
          }
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    Connector conn = state.getConnector();

    int numAccts = (Integer) state.get("numAccts");
    // note: non integer exponents are slow

    ZipfDistributionImpl zdiBanks = new ZipfDistributionImpl((Integer) state.get("numBanks"), 1);
    String bank = Utils.getBank(zdiBanks.inverseCumulativeProbability(rand.nextDouble()));
    ZipfDistributionImpl zdiAccts = new ZipfDistributionImpl(numAccts, 1);
    String acct1 = Utils.getAccount(zdiAccts.inverseCumulativeProbability(rand.nextDouble()));
    String acct2 = Utils.getAccount(zdiAccts.inverseCumulativeProbability(rand.nextDouble()));
    while (acct2.equals(acct1)) {
      // intentionally not using zipf distribution to pick on retry
      acct2 = Utils.getAccount(rand.nextInt(numAccts));
    }
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Related Classes of org.apache.commons.math.distribution.ZipfDistributionImpl

  • org.apache.accumulo.test.randomwalk.conditional.Transfer
  • org.apache.commons.math.random.RandomDataImpl
  • org.apache.commons.math.random.RandomDataTest
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