/***********************************************************************
This file is part of JavaNPST, a Java library of NonParametric
Statistical Tests.
Copyright (C) 2011
J. Derrac (jderrac@decsai.ugr.es)
S. Garcia (sglopez@ujaen.es)
F. Herrera (herrera@decsai.ugr.es)
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see http://www.gnu.org/licenses/
**********************************************************************/
package javanpst.distributions.tests;
import java.io.IOException;
import javax.xml.parsers.ParserConfigurationException;
import javax.xml.parsers.SAXParser;
import javax.xml.parsers.SAXParserFactory;
import org.xml.sax.SAXException;
import javanpst.distributions.DistributionDefinitions;
import javanpst.data.distributions.incompleteTable.Incomplete2KeyTable;
import javanpst.data.readers.distributionReaders.NMDistributionReaderFormat;
/**
* An implementation of the NM distribution.
*
* Uses a Singleton pattern to ensure only an instance of the class is allowed.
*
* @author Joaqu�n Derrac Rus (jderrac@decsai.ugr.es)
* @version 1.0
*/
public class NMDistribution extends TestDistribution{
/**
* Table of the left tail of the distribution
*/
private static Incomplete2KeyTable leftTable;
/**
* Table of the right tail of the distribution
*/
private static Incomplete2KeyTable rightTable;
/**
* Flag showing if the last estimation was approximate
*/
private static boolean approximate;
/**
* Private default builder.
*
* Initializes distribution tables
*/
private NMDistribution(){
initialize();
}//end-method
/**
* Singleton pattern access to the distribution
*
* @return the instance of the distribution
*/
public static NMDistribution getInstance(){
return SingletonHolder.distribution;
}//end-method
/**
* Singleton holder for the only instance of the distribution
*
* SingletonHolder is loaded on the first execution of getInstance()
* or the first access to SingletonHolder.distribution, not before.
*/
private static class SingletonHolder {
public static final NMDistribution distribution = new NMDistribution();
}//end-method
/**
* Generate distribution tables
*/
protected void generateTables(){
leftTable = new Incomplete2KeyTable(11,285);
rightTable = new Incomplete2KeyTable(11,285);
loadFiles();
}//end-method
/**
* Load data files to fill distribution tables
*/
protected void loadFiles(){
try{
SAXParserFactory spf=SAXParserFactory.newInstance();
SAXParser sp = spf.newSAXParser();
sp.parse(this.getClass().getResourceAsStream("/tables/RanksVonNeumann/NMRanksLeft.xml"), new NMDistributionReaderFormat(NMDistributionReaderFormat.LEFT));
}catch(ParserConfigurationException e){
System.err.println("Parser error");
}catch(SAXException e2){
System.err.println("SAX error: " + e2.getStackTrace());
} catch (IOException e3) {
System.err.println("Input/Output error: " + e3.getMessage() );
}
try{
SAXParserFactory spf=SAXParserFactory.newInstance();
SAXParser sp = spf.newSAXParser();
sp.parse(this.getClass().getResourceAsStream("/tables/RanksVonNeumann/NMRanksRight.xml"), new NMDistributionReaderFormat(NMDistributionReaderFormat.RIGHT));
}catch(ParserConfigurationException e){
System.err.println("Parser error");
}catch(SAXException e2){
System.err.println("SAX error: " + e2.getStackTrace());
} catch (IOException e3) {
System.err.println("Input/Output error: " + e3.getMessage() );
}
}//end-method
/**
* Gets the table of the left tail of the distribution
*
* @return Reference to the table
*/
public static Incomplete2KeyTable getTableLeft(){
return leftTable;
}//end-method
/**
* Gets the table of the right tail of the distribution
*
* @return Reference to the table
*/
public static Incomplete2KeyTable getTableRight(){
return rightTable;
}//end-method
/**
* Computes left tail p-value of the NM distribution.
*
* @param n length of the sequence
* @param realNM NM statistic
* @return p-value computed
*/
public double computeLeftProbability(int n,double realNM){
int NM;
double prob;
NM=(int)Math.ceil(realNM);
prob=leftTable.get(n, NM);
if(prob!=DistributionDefinitions.UNDEFINED){
approximate=false;
return prob;
}
for(int i=NM+1;i<285 && prob==DistributionDefinitions.UNDEFINED;i++){
prob=leftTable.get(n, i);
}
if(prob==DistributionDefinitions.UNDEFINED){
approximate=true;
return 1.0;
}
else{
approximate=true;
return prob;
}
}//end-method
/**
* Computes right tail p-value of the NM distribution.
*
* @param n length of the sequence
* @param realNM NM statistic
* @return p-value computed
*/
public double computeRightProbability(int n,double realNM){
int NM;
double prob;
NM=(int)Math.floor(realNM);
prob=rightTable.get(n, NM);
if(prob!=DistributionDefinitions.UNDEFINED){
approximate=false;
return prob;
}
for(int i=NM-1;i >0 && prob==DistributionDefinitions.UNDEFINED;i--){
prob=rightTable.get(n, i);
}
if(prob==DistributionDefinitions.UNDEFINED){
approximate=true;
return DistributionDefinitions.ALL;
}
else{
approximate=true;
return prob;
}
}//end-method
/**
* Tests if the last estimation was approximate
*
* @return true if the last estimation was approximate. False, otherwise
*/
public boolean isApproximate(){
return approximate;
}//end-method
}//end-class
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