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TASSEL is a software package to evaluate traits associations, evolutionary patterns, and linkage disequilibrium.

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package net.maizegenetics.analysis.chart;

import net.maizegenetics.util.TableReport;
import org.jfree.data.xy.DefaultTableXYDataset;


/**
 * 

Title:

*

Description:

*

Copyright: Copyright (c) 2004

*

Company: USDA-ARS

* @author Ed Buckler * @version 1.0 */ public class TableReportXYDataset extends DefaultTableXYDataset { double[][] theData; String[] seriesNames; String xName; int numberYAxes=1; public TableReportXYDataset(TableReport theTable, int seriesX, int seriesY) { numberYAxes=1; setTableReport(theTable, seriesX, seriesY, -1); } public TableReportXYDataset(TableReport theTable, int seriesX, int seriesY1, int seriesY2) { numberYAxes=2; setTableReport(theTable, seriesX, seriesY1, seriesY2); } public int getItemCount(int parm1) { return theData.length; //throw new java.lang.UnsupportedOperationException("Method getItemCount() not yet implemented."); } public Number getX(int series, int item) { Double x = new Double(theData[item][0]); return x; // throw new java.lang.UnsupportedOperationException("Method getXValue() not yet implemented."); } public int getSeriesCount() { return numberYAxes; //throw new java.lang.UnsupportedOperationException("Method getSeriesCount() not yet implemented."); } public Number getY(int series, int item) { Double y = new Double(theData[item][1+series]); return y; // throw new java.lang.UnsupportedOperationException("Method getYValue() not yet implemented."); } public String getSeriesName(int series) { /**current*/ return seriesNames[series]; // throw new java.lang.UnsupportedOperationException("Method getSeriesName() not yet implemented."); } public String getSeriesKey(int series) { /**current*/ return seriesNames[series]; // throw new java.lang.UnsupportedOperationException("Method getSeriesName() not yet implemented."); } public String getXName() { /**current*/ return xName; // throw new java.lang.UnsupportedOperationException("Method getSeriesName() not yet implemented."); } public boolean setTableReport(TableReport theTable, int seriesX, int seriesY1, int seriesY2) { int countGood = 0; double[][] tempData = new double[(int) theTable.getRowCount()][numberYAxes+1]; for (int i = 0; i < theTable.getRowCount(); i++) { Object[] theRawData=theTable.getRow(i); try { tempData[countGood][0] = Double.valueOf(theRawData[seriesX].toString()).doubleValue(); tempData[countGood][1] = Double.valueOf(theRawData[seriesY1].toString()).doubleValue(); if (Double.isNaN(tempData[countGood][0])||Double.isNaN(tempData[countGood][1])) {throw new NumberFormatException();} if(numberYAxes==2) { tempData[countGood][2] = Double.valueOf(theRawData[seriesY2].toString()).doubleValue(); if (Double.isNaN(tempData[countGood][2])) {throw new NumberFormatException();} } countGood++; } catch (NumberFormatException ex) {System.out.println("throw new NumberFormatException();");} } theData = new double[countGood][numberYAxes+1]; for (int i = 0; i < countGood; i++) { for(int j=0; j




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