Class pmr.stat.Univariate 
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Class pmr.stat.Univariate 

java.lang.Object
   |
   +----pmr.stat.Stat
           |
           +----pmr.stat.DrawableStat
                   |
                   +----pmr.stat.Univariate
public class Univariate
extends DrawableStat
Univariate - Univariate class

Univariate statistics on a 1-dimensional array. Most of the usual stuff can be found in the member functions. the drawing routines (e.g. for Histogram) are not yet developed. (Note, if you want to display a RealArray as a graph, use Bivariate.)

Default has zero elements and default values of RealRange, etc; Some routines producing Gaussian variates are better done using Java

For zero or one elements, some routines throw ArrayTooSmallException

Author:
(C) P. Murray-Rust, 1996

Variable Index

o CUMULATIVE
o GRAPH
o HISTOGRAM
display switches
o LOG
o ORIGINAL
o ZSCORE

Constructor Index

o Univariate()
default Univariate has zero elements and default components
o Univariate(RealArray)
create from RealArray BY VALUE

Method Index

o addElement(double)
o debug()
o display()
Kicks off a ScrollableTopLevel which contains the object.
o display(Graphics)
used by the ScrollableTopLevel to paint the object, or can be used to draw the object to somewhere else.
o display(Graphics, Component)
this may encapsulate the above routine, as we often need the component, e.g.
o elementAt(int)
o getGaussianVariate()
a random Gaussian variate normalised to mean = 0.0, sdev = 1.0
o getGaussianVariate(double, double)
a random Gaussian variate from distribution with given mean and sdev
o getMean()
o getMedian()
o getRandom(double, double)
random variate in range low-high
o getRange()
o getRealArray()
get the original data as RealArray
o getStandardDeviation()
o getTitle()
o getTransformedArray(String)
get transformed data; unknown type returns null.
o getVariance()
o main(String[])
o process()
the calculation routine;
o setVariateType(String)
create transformation of values (e.g.
o size()
o toString()

Variables

o HISTOGRAM 
  public final static int HISTOGRAM
display switches
o GRAPH 
  public final static int GRAPH
o ORIGINAL 
  public final static String ORIGINAL
o LOG 
  public final static String LOG
o CUMULATIVE 
  public final static String CUMULATIVE
o ZSCORE 
  public final static String ZSCORE

Constructors

o Univariate 
  public Univariate()
default Univariate has zero elements and default components
o Univariate 
  public Univariate(RealArray f)
create from RealArray BY VALUE

Methods

o process 
  public void process() throws ArrayTooSmallException
the calculation routine;
Throws: ArrayTooSmallException
several routines require a minimum number of points
Overrides:
process in class Stat
o getTitle 
  public String getTitle()
Overrides:
getTitle in class Stat
o addElement 
  public void addElement(double x)
o size 
  public int size()
o elementAt 
  public double elementAt(int i)
o getMean 
  public double getMean() throws ArrayTooSmallException
Throws: ArrayTooSmallException
no data points
o getVariance 
  public double getVariance() throws ArrayTooSmallException
Throws: ArrayTooSmallException
less than 2 data points
o getStandardDeviation 
  public double getStandardDeviation() throws ArrayTooSmallException
Throws: ArrayTooSmallException
less than 2 data points
o getRange 
  public RealRange getRange() throws ArrayTooSmallException
Throws: ArrayTooSmallException
less than 2 data points
o getMedian 
  public double getMedian() throws ArrayTooSmallException
Throws: ArrayTooSmallException
less than 2 data points
o getRealArray 
  public RealArray getRealArray() throws ArrayTooSmallException
get the original data as RealArray
Throws: ArrayTooSmallException
shouldn't happen, but might with less than 2 data points
o getTransformedArray 
  public RealArray getTransformedArray(String key) throws ArrayTooSmallException
get transformed data; unknown type returns null. Keys are:
Throws: ArrayTooSmallException
shouldn't happen, but might with less than 2 data points
o getRandom 
  public static double getRandom(double low,
                                 double high)
random variate in range low-high
o getGaussianVariate 
  public static double getGaussianVariate()
a random Gaussian variate normalised to mean = 0.0, sdev = 1.0
o getGaussianVariate 
  public static double getGaussianVariate(double mean,
                                          double stdev)
a random Gaussian variate from distribution with given mean and sdev
o toString 
  public String toString()
Overrides:
toString in class Object
o setVariateType 
  public void setVariateType(String key) throws ArrayTooSmallException
create transformation of values (e.g. log, cumulative)
Throws: ArrayTooSmallException
several routines require a minimum number of points
o display 
  public void display()
Kicks off a ScrollableTopLevel which contains the object.
Overrides:
display in class DrawableStat
o display 
  public void display(Graphics g)
used by the ScrollableTopLevel to paint the object, or can be used to draw the object to somewhere else.
Overrides:
display in class DrawableStat
o display 
  public void display(Graphics g,
                      Component comp)
this may encapsulate the above routine, as we often need the component, e.g.
Overrides:
display in class DrawableStat
o debug 
  public void debug()
Overrides:
debug in class DrawableStat
o main 
  public static void main(String args[])

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