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corina.cross
package contains algorithms for
crossdating samples, and also higherlevel data structures which help
for crossing sets of samples.
See:
Description
Interface Summary  
Grid.Cell 
Class Summary  
Bayesian  
Cross  Abstract class representing the scores of a crossdate. 
CrossdateKit  
CrossFrame  A crossdate. 
CrossPrinter  
DScore  Class for computing the hybrid "DScore" ("Dating Score"). 
Grid  A crossdating grid. 
GridFrame  
Histogram  
NeuralD  
Score  
Sequence  
Single  
Table  A crossdating table: a table of samples, crossdates, and other information, from an 1byN cross. 
TableFrame  
TablePrinter  
TableTableModel  
Trend  Class representing a "trend" algorithm for crossdating, whereby scores are the ratio of matching trends to total 1year intervals. 
TScore  A (Student's) TScore crossdate. 
Weiserjahre 
The corina.cross
package contains algorithms for
crossdating samples, and also higherlevel data structures which help
for crossing sets of samples.
Sequence provides the client interface to crossdating. Construct a Sequence with any number of fixed and moving samples. You can step through the crosses with nextCross() and prevCross(), and get the current cross with getCross(). (Unfortunately, Java Enumerations are forwardonly, which is why I had to write my own.)
The Cross you get will only be references: you must still run() it.
A Cross contains the scores in data
, as a
double[]
. Significant scores are stored in
highScores
, as indexes into the data array. (The method
yearOfIndex()
might help.)
Grids and Tables are completely different, because they're not typically interactive, but they are constructed roughly the same as NxN and 1xN Sequences, respectively.
Look at Cross.java
; that's the class you need to
extend. The only two methods you need to define are
getMinimumSignificant()
, which returns the minimum  NO, THIS IS OBSOLETE! DON'T DO IT! 
significant crossdate score for that algorithm, and
compute(int,int)
, which computes the score at those
particular offsets. Your constructor should accept two Sample
objects, and pass them to super().
You may need to create a preamble()
method, too; this
does any needed operations with the data that must be done before
individual scores are calculated. For example, the TScore preamble
creates a normalized copy of the data.
If you want your crossdate to be in general use, add it to
CrossdateKit
, so people can use it. If it's so popular
that people will want to use it all the time, add it to the list of
defaults in Sequence
.


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