Examples of umontreal.iro.lecuyer.stat.TallyStore

umontreal.iro.lecuyer.stat.TallyStore
This class is a variant of {@link Tally} for which the individualobservations are stored in a list implemented as a {@link cern.colt.list.DoubleArrayList DoubleArrayList}. The {@link cern.colt.list.DoubleArrayList DoubleArrayList} object used tostore the values can be either passed to the constructor or created by the constructor, and can be accessed via the {@link #getDoubleArrayList getDoubleArrayList} method.
The same counters as in {@link Tally} are maintained and are used bythe inherited methods. One must access the list of observations to compute quantities not supported by the methods in {@link Tally}, and/or to use methods provided by the COLT package.
Never add or remove observations directly on the {@link cern.colt.list.DoubleArrayList DoubleArrayList} object,because this would put the counters of the TallyStore object in an inconsistent state.
There are two potential reasons for using a {@link TallyStore} objectinstead of directly using a {@link cern.colt.list.DoubleArrayList DoubleArrayList} object:(a) it can broadcast observations and (b) it maintains a few additional counters that may speed up some operations such as computing the average.

      seriesCollection = new XYSeriesCollection();
      renderer = new EmpiricalRenderer();
      XYSeriesCollection tempSeriesCollection = (XYSeriesCollection)seriesCollection;


      for (int j = 0; j < tallies.length; j++) {
         TallyStore temp = tallies[j];
         temp.quickSort();
         double[] array = temp.getArray();
         XYSeries serie = new XYSeries(" ");
         serie.add(setZeroPoint(array[0]), 0); // correct x-value of zero point will be set later
         for (int k = 0; k < tallies[j].numberObs(); k++)
            serie.add(array[k], (double)(k + 1)/tallies[j].numberObs());
         tempSeriesCollection.addSeries(serie);

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    * 
    */
   public static ListOfTallies<TallyStore> createWithTallyStore (int size) {
      ListOfTallies<TallyStore> list = new ListOfTallies<TallyStore>();
      for (int i = 0; i < size; i++)
         list.add (new TallyStore());
      return list;
   }

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    */
   public double covariance (int i, int j) {
      if (i == j)
         return get (i).variance();


      TallyStore tallyi = (TallyStore)get (i);
      TallyStore tallyj = (TallyStore)get (j);
      return tallyi.covariance (tallyj);
   }

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    */
   public static ListOfTalliesWithCovariance<TallyStore> createWithTallyStore
                                             (int size) {
      ListOfTalliesWithCovariance<TallyStore> list = new ListOfTalliesWithCovariance<TallyStore>();
      for (int i = 0; i < size; i++)
         list.add (new TallyStore());
      list.init();
      return list;
   }

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Related Classes of umontreal.iro.lecuyer.stat.TallyStore

cern.colt.list.DoubleArrayList

umontreal.iro.lecuyer.charts.EmpiricalSeriesCollection

umontreal.iro.lecuyer.stat.list.ListOfTallies

umontreal.iro.lecuyer.stat.list.ListOfTalliesWithCovariance

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