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/* |
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Copyright @ 1999-2004, The Institute for Genomic Research (TIGR). |
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All rights reserved. |
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*/ |
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/* |
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* $RCSfile: SVMInfoViewer.java,v $ |
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* $Revision: 1.6 $ |
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* $Date: 2006/03/24 15:51:53 $ |
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* $Author: eleanorahowe $ |
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* $State: Exp $ |
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*/ |
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package org.tigr.microarray.mev.cluster.gui.impl.svm; |
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import java.awt.Color; |
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import java.awt.Dimension; |
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import java.awt.GridBagConstraints; |
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import java.awt.GridBagLayout; |
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import java.awt.Insets; |
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import javax.swing.JComponent; |
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import javax.swing.JLabel; |
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import javax.swing.JPanel; |
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import javax.swing.JTextArea; |
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|
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import org.tigr.microarray.mev.cluster.gui.impl.ViewerAdapter; |
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public class SVMInfoViewer extends ViewerAdapter implements java.io.Serializable { |
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public static final long serialVersionUID = 202018050001L; |
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|
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private JComponent header; |
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private JTextArea content; |
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private boolean classifyGenes = true; |
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private int svmMode = 0; |
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|
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private int numberOfPositives = 0; |
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private int numberOfTruePositives = 0; |
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private int numberOfFalseNegatives = 0; |
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|
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private int numberOfNegatives = 0; |
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private int numberOfTrueNegatives = 0; |
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private int numberOfFalsePositives = 0; |
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|
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|
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/** |
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* Constructs a <code>SVMInfoViewer</code> |
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*/ |
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public SVMInfoViewer(int numPosExamples, int numNegExamples, int numNeutExamples, int numPos, int numTruePos, int numFalseNeg, int numNeg, int numTrueNeg, int numFalsePos, int numPosRecFromNeut, int numNegRecFromNeut, boolean classifyGenes, int svmMode) { |
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header = createHeader(); |
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this.classifyGenes = classifyGenes; |
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this.svmMode = svmMode; |
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content = createContent(numPosExamples, numNegExamples, numNeutExamples, numPos, numTruePos, numFalseNeg, numNeg, numTrueNeg, numFalsePos, numPosRecFromNeut, numNegRecFromNeut); |
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setMaxWidth(content, header); |
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} |
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public SVMInfoViewer(JTextArea content, JComponent header){ |
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this.content = content; |
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this.header = header; |
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setMaxWidth(content, header); |
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} |
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|
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/** |
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* Constructs a <code>SVMInfoViewer</code> when initial classification is unknown, SVMMode == CLASSIFY_ONLY |
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*/ |
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public SVMInfoViewer(int numPos, int numNeg, boolean classifyGenes, int svmMode) { |
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header = createHeader(); |
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this.classifyGenes = classifyGenes; |
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this.svmMode = svmMode; |
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content = createContent(0, 0, 0, numPos, 0, 0, numNeg, 0, 0, 0, 0); |
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setMaxWidth(content, header); |
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} |
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|
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/** |
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* Returns component to be inserted into the framework scroll pane. |
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*/ |
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public JComponent getContentComponent() { |
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return content; |
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} |
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/** |
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* Returns the viewer header. |
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*/ |
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public JComponent getHeaderComponent() { |
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return header; |
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} |
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|
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/** |
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* Creates the viewer header. |
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*/ |
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private JComponent createHeader() { |
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JPanel panel = new JPanel(new GridBagLayout()); |
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panel.setBackground(Color.white); |
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GridBagConstraints gbc = new GridBagConstraints(); |
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gbc.fill = GridBagConstraints.HORIZONTAL; |
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gbc.insets = new Insets(10, 0, 10, 0); |
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panel.add(new JLabel("<html><body bgcolor='#FFFFFF'><font face='serif' size='5' color='#000080'><b>Classification Information</b></font></body></html>"), gbc); |
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return panel; |
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} |
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|
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/** |
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* Creates the viewer content component. |
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*/ |
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private JTextArea createContent(int numPosExamples, int numNegExamples, int numNeutExamples, int numPos, int numTruePos, int numFalseNeg, int numNeg, int numTrueNeg, int numFalsePos, int numPosRecFromNeut, int numNegRecFromNeut) { |
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JTextArea area = new JTextArea(20, 20); |
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area.setMargin(new Insets(0, 10, 0, 0)); |
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area.setEditable(false); |
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StringBuffer sb = new StringBuffer(800); |
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if(svmMode == SVMGUI.TRAIN_AND_CLASSIFY) |
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sb.append("SVM Mode: Training and Classification\n\n"); |
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else |
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sb.append("SVM Mode: Classification using SVM Weight File\n\n"); |
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|
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if(classifyGenes){ |
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sb.append("Total Number of Genes: "+ (numPos + numNeg)+"\n\n"); |
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sb.append("Positive Genes\n"); |
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if(svmMode == SVMGUI.TRAIN_AND_CLASSIFY) |
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sb.append("# of Genes initially selected as Positive examples: "+numPosExamples+"\n"); |
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|
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sb.append("# of Genes classified as Positive (Total Positives): "+numPos+"\n"); |
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if(svmMode == SVMGUI.TRAIN_AND_CLASSIFY){ |
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sb.append("# of Genes retained in Positive class (True Positives): " + numTruePos+"\n"); |
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sb.append("# of Genes recruited into Positive class from Negatives (False Negatives): " + numFalseNeg+"\n"); |
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if(numNeutExamples > 0) |
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sb.append("# of Genes recruited into Positive class from Neutrals: " + numPosRecFromNeut+"\n"); |
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} |
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sb.append("\n"); |
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|
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sb.append("Negative Genes\n"); |
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if(svmMode == SVMGUI.TRAIN_AND_CLASSIFY) |
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sb.append("# of Genes initially selected as negative examples: "+numNegExamples+"\n"); |
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sb.append("# of Genes classified as negative (Total Negatives): "+numNeg+"\n"); |
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if(svmMode == SVMGUI.TRAIN_AND_CLASSIFY){ |
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sb.append("# of Genes retained in negative class (True Negatives): " + numTrueNeg+"\n"); |
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sb.append("# of Genes recruited into negative class from Positives (False Positives): " + numFalsePos+"\n"); |
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if(numNeutExamples > 0) |
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sb.append("# of Genes recruited into Negative class from Neutrals: " + numNegRecFromNeut+"\n"); |
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} |
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sb.append("\n"); |
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if(numNeutExamples != 0){ |
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sb.append("Neutral Genes"); |
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sb.append("\n"); |
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sb.append("# of Genes initially selected as neutral examples: "+numNeutExamples+"\n"); |
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sb.append("\n"); |
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} |
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|
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} |
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else{ |
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sb.append("Total Number of Experiments: "+ (numPos + numNeg)+"\n\n"); |
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sb.append("Positive Experiments"); |
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sb.append("\n"); |
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if(svmMode == SVMGUI.TRAIN_AND_CLASSIFY) |
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sb.append("# of Experiments initially selected as positive examples: "+numPosExamples+"\n"); |
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|
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sb.append("# of Experiments classified as positive (Total Positives): "+numPos+"\n"); |
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if(svmMode == SVMGUI.TRAIN_AND_CLASSIFY){ |
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sb.append("# of Experiments retained in positive class (True Positives): " + numTruePos+"\n"); |
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sb.append("# of Experiments recruited into positive class from Negatives (False Negatives): " + numFalseNeg+"\n"); |
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if(numNeutExamples > 0) |
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sb.append("# of Experiments recruited into Positive class from Neutrals: " + numPosRecFromNeut+"\n"); |
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} |
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sb.append("\n"); |
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|
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sb.append("Negative Experiments"); |
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sb.append("\n"); |
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if(svmMode == SVMGUI.TRAIN_AND_CLASSIFY) |
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sb.append("# of Experiments initially selected as negative examples: "+numNegExamples+"\n"); |
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|
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sb.append("# of Experiments classified as negative (Total Negatives): "+numNeg+"\n"); |
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if(svmMode == SVMGUI.TRAIN_AND_CLASSIFY){ |
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sb.append("# of Experiments retained in negative class (True Negatives): " + numTrueNeg+"\n"); |
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sb.append("# of Experiments recruited into negative class from Positives (False Positives): " + numFalsePos+"\n"); |
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if(numNeutExamples > 0) |
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sb.append("# of Experiments recruited into Positive class from Neutrals: " + numNegRecFromNeut+"\n"); |
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} |
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sb.append("\n"); |
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if(numNeutExamples != 0 && svmMode == SVMGUI.TRAIN_AND_CLASSIFY){ |
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sb.append("Neutral Experiments"); |
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sb.append("\n"); |
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sb.append("# of Experiments initially selected as neutral examples: "+numNeutExamples+"\n"); |
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sb.append("\n"); |
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} |
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} |
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area.setText(sb.toString()); |
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area.setCaretPosition(0); |
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return area; |
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} |
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|
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/** |
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* Synchronize content and header sizes. |
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*/ |
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private void setMaxWidth(JComponent content, JComponent header) { |
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int c_width = content.getPreferredSize().width; |
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int h_width = header.getPreferredSize().width; |
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if (c_width > h_width) { |
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header.setPreferredSize(new Dimension(c_width, header.getPreferredSize().height)); |
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} else { |
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content.setPreferredSize(new Dimension(h_width, content.getPreferredSize().height)); |
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} |
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} |
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|
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/** Returns a component to be inserted into the scroll pane row header |
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*/ |
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public JComponent getRowHeaderComponent() { |
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return null; |
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} |
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|
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} |