Package qa.generator.distributions

Class QADistribution

java.lang.Object
qa.generator.distributions.QADistribution
Direct Known Subclasses:
QACorrelatedSequence, QAFixed, QAGamma, QAGaussian, QARandomSpread
public abstract class QADistribution extends Object

  • Constructor Summary

    Constructors
    Constructor
    Description
    QADistribution(boolean sort, boolean integrate)
     

  • Method Summary

    Modifier and Type
    Method
    Description
    protected abstract double[]
    createValues(int nValues)
    Generate a set of random values according to the underlying distribution.
    double[]
    getRange()
    Get the range of the distrubution.
    abstract double[]
    getRange(double nSigma)
    Get the range of the distrubution.
    final double[]
    getValues(int nValues)
    Create a set of random values according to the underlying distribution.
    boolean
    isIntegrate()
     
    boolean
    isSort()
     
    void
    setIntegrate(boolean integrate)
     
    void
    setSort(boolean sort)
     

    Methods inherited from class java.lang.Object

    clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

  • Constructor Details

    • QADistribution

      public QADistribution(boolean sort, boolean integrate)
      Parameters:
      sort - sort the data in ascending order.
      integrate - data will be integrated (e.g. to generate click times rather than inter-click intervals)

  • Method Details

    • getValues

      public final double[] getValues(int nValues)
      Create a set of random values according to the underlying distribution.

      Concrete classes should override createValues rather than this getValues function, leaving getValues to sort and integrate as required

      Parameters:
      nValues - number of values to generate.
      Returns:
      array of values.

    • getRange

      public abstract double[] getRange(double nSigma)
      Get the range of the distrubution. How this is defined is a little nebulous, for Guassian like distributions its the mean +/- n standard deviations.
      Parameters:
      nSigma - number of Standard Deviations (or equivalents).
      Returns:
      The range of values.

    • getRange

      public double[] getRange()
      Get the range of the distrubution. How this is defined is a little nebulous, for Guassian like distributions its the mean +/- n standard deviations.
      Parameters:
      nSDs - number of Standard Deviations (or equivalents).
      Returns:
      The range of values.

    • createValues

      protected abstract double[] createValues(int nValues)
      Generate a set of random values according to the underlying distribution.

      Do not sort or integrate within createValues, that wil be handled by the calling getValues function

      Parameters:
      nValues - number of values to generate.
      Returns:
      array of values.

    • isSort

      public boolean isSort()
      Returns:
      the sort

    • setSort

      public void setSort(boolean sort)
      Parameters:
      sort - the sort to set

    • isIntegrate

      public boolean isIntegrate()
      Returns:
      the integrate

    • setIntegrate

      public void setIntegrate(boolean integrate)
      Parameters:
      integrate - the integrate to set