Package com.espertech.esper.common.internal.view.derived

Class BaseStatisticsBean

java.lang.Object
com.espertech.esper.common.internal.view.derived.BaseStatisticsBean
All Implemented Interfaces:
Serializable, Cloneable
public class BaseStatisticsBean extends Object implements Cloneable, Serializable
Bean for performing statistical calculations. The bean keeps sums of X and Y datapoints and sums on squares that can be reused by subclasses. The bean calculates standard deviation (sample and population), variance, average and sum.
See Also:

  • Constructor Summary

    Constructors
    Constructor
    Description
    BaseStatisticsBean()
     

  • Method Summary

    Modifier and Type
    Method
    Description
    final void
    addPoint(double x)
    Add a data point for the X data set only.
    final void
    addPoint(double x, double y)
    Add a data point.
    final Object
    clone()
     
    final double
    getCorrelation()
    Return the correlation value for the two data series (Microsoft Excel function CORREL).
    long
    getDataPoints()
    Returns the number of datapoints.
    final long
    getN()
    Returns the number of data points.
    double
    getSlope()
    Returns the slope.
    double
    getSumX()
    Returns sum of x.
    final double
    getSumXSq()
    For use by subclasses, returns sum (X * X).
    final double
    getSumXY()
    For use by subclasses, returns sum (X * Y).
    double
    getSumY()
    Returns sum of y.
    final double
    getSumYSq()
    For use by subclasses, returns sum (Y * Y).
    final double
    getXAverage()
    Returns the average of all X data points.
    final double
    getXStandardDeviationPop()
    Calculates standard deviation for X based on the entire population given as arguments.
    final double
    getXStandardDeviationSample()
    Calculates standard deviation for X based on the sample data points supplied.
    final double
    getXSum()
    Returns the sum of all X data points.
    final double
    getXVariance()
    Calculates standard deviation for X based on the sample data points supplied.
    final double
    getYAverage()
    Returns the average of all Y data points.
    double
    getYIntercept()
    Returns the Y intercept.
    final double
    getYStandardDeviationPop()
    Calculates standard deviation for Y based on the entire population given as arguments.
    final double
    getYStandardDeviationSample()
    Calculates standard deviation for Y based on the sample data points supplied.
    final double
    getYSum()
    Returns the sum of all Y data points.
    final double
    getYVariance()
    Calculates standard deviation for Y based on the sample data points supplied.
    final void
    removePoint(double x)
    Remove a X data point only.
    final void
    removePoint(double x, double y)
    Remove a data point.
    void
    setDataPoints(long dataPoints)
    Sets the number of datapoints
    void
    setSumX(double sumX)
    Sets the sum X.
    void
    setSumXSq(double sumXSq)
    Sets the sum X square.
    void
    setSumXY(double sumXY)
    Sets the sum of x times y.
    void
    setSumY(double sumY)
    Sets the sum Y.
    void
    setSumYSq(double sumYSq)
    Sets the sum Y square.
    final String
    toString()
     

    Methods inherited from class java.lang.Object

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

  • Constructor Details

    • BaseStatisticsBean

      public BaseStatisticsBean()

  • Method Details

    • addPoint

      public final void addPoint(double x)
      Add a data point for the X data set only.
      Parameters:
      x - is the X data point to add.

    • addPoint

      public final void addPoint(double x, double y)
      Add a data point.
      Parameters:
      x - is the X data point to add.
      y - is the Y data point to add.

    • removePoint

      public final void removePoint(double x)
      Remove a X data point only.
      Parameters:
      x - is the X data point to remove.

    • removePoint

      public final void removePoint(double x, double y)
      Remove a data point.
      Parameters:
      x - is the X data point to remove.
      y - is the Y data point to remove.

    • getXStandardDeviationPop

      public final double getXStandardDeviationPop()
      Calculates standard deviation for X based on the entire population given as arguments. Equivalent to Microsoft Excel formula STDEVPA.
      Returns:
      standard deviation assuming population for X

    • getYStandardDeviationPop

      public final double getYStandardDeviationPop()
      Calculates standard deviation for Y based on the entire population given as arguments. Equivalent to Microsoft Excel formula STDEVPA.
      Returns:
      standard deviation assuming population for Y

    • getXStandardDeviationSample

      public final double getXStandardDeviationSample()
      Calculates standard deviation for X based on the sample data points supplied. Equivalent to Microsoft Excel formula STDEV.
      Returns:
      standard deviation assuming sample for X

    • getYStandardDeviationSample

      public final double getYStandardDeviationSample()
      Calculates standard deviation for Y based on the sample data points supplied. Equivalent to Microsoft Excel formula STDEV.
      Returns:
      standard deviation assuming sample for Y

    • getXVariance

      public final double getXVariance()
      Calculates standard deviation for X based on the sample data points supplied. Equivalent to Microsoft Excel formula STDEV.
      Returns:
      variance as the square of the sample standard deviation for X

    • getYVariance

      public final double getYVariance()
      Calculates standard deviation for Y based on the sample data points supplied. Equivalent to Microsoft Excel formula STDEV.
      Returns:
      variance as the square of the sample standard deviation for Y

    • getN

      public final long getN()
      Returns the number of data points.
      Returns:
      number of data points

    • getXSum

      public final double getXSum()
      Returns the sum of all X data points.
      Returns:
      sum of X data points

    • getYSum

      public final double getYSum()
      Returns the sum of all Y data points.
      Returns:
      sum of Y data points

    • getXAverage

      public final double getXAverage()
      Returns the average of all X data points.
      Returns:
      average of X data points

    • getYAverage

      public final double getYAverage()
      Returns the average of all Y data points.
      Returns:
      average of Y data points

    • getSumXSq

      public final double getSumXSq()
      For use by subclasses, returns sum (X * X).
      Returns:
      sum of X squared

    • getSumYSq

      public final double getSumYSq()
      For use by subclasses, returns sum (Y * Y).
      Returns:
      sum of Y squared

    • getSumXY

      public final double getSumXY()
      For use by subclasses, returns sum (X * Y).
      Returns:
      sum of X times Y

    • clone

      public final Object clone()
      Overrides:
      clone in class Object

    • toString

      public final String toString()
      Overrides:
      toString in class Object

    • setSumX

      public void setSumX(double sumX)
      Sets the sum X.
      Parameters:
      sumX - to set

    • setSumXSq

      public void setSumXSq(double sumXSq)
      Sets the sum X square.
      Parameters:
      sumXSq - to set

    • setSumY

      public void setSumY(double sumY)
      Sets the sum Y.
      Parameters:
      sumY - to set

    • setSumYSq

      public void setSumYSq(double sumYSq)
      Sets the sum Y square.
      Parameters:
      sumYSq - to set

    • setSumXY

      public void setSumXY(double sumXY)
      Sets the sum of x times y.
      Parameters:
      sumXY - sum of x times y.

    • setDataPoints

      public void setDataPoints(long dataPoints)
      Sets the number of datapoints
      Parameters:
      dataPoints - to set

    • getSumX

      public double getSumX()
      Returns sum of x.
      Returns:
      sum of x

    • getSumY

      public double getSumY()
      Returns sum of y.
      Returns:
      sum of y

    • getDataPoints

      public long getDataPoints()
      Returns the number of datapoints.
      Returns:
      datapoints

    • getYIntercept

      public double getYIntercept()
      Returns the Y intercept.
      Returns:
      Y intercept

    • getSlope

      public double getSlope()
      Returns the slope.
      Returns:
      regression slope

    • getCorrelation

      public final double getCorrelation()
      Return the correlation value for the two data series (Microsoft Excel function CORREL).
      Returns:
      correlation value