/**
* Answer a perfect copy of <code>this</code> that points to another dataset
*
* @param dataSet the dataSet the copied gene will be part of.
* @return a perfect copy of <code>this</code> that points to another dataset
*/
public DefaultGene deepCopyFor(DataSet dataSet) {
DefaultGene gene = new DefaultGene(dataSet, index);
Iterator i = userAttributes.iterator();
while (i.hasNext()) {
String att = (String) i.next();
gene.addAttribute(att);
}
return gene;
}
private JTable createTable(
int samplesNum,
int featuresNum,
ArrayList sampleNames,
ArrayList featureNames,
ArrayList attributes,
double[][] data,
double[] SNR) {
String[] columnNames = new String[attributes.size() + 1 + samplesNum];
Object[][] rowData = new Object[featuresNum + 1][columnNames.length];
int attributeSize = attributes.size();
for (int i = 0; i < columnNames.length; i++) {
if (i < attributeSize) {
columnNames[i] = (String) attributes.get(i);
rowData[0][i] = "";
} else if (i == attributeSize) {
columnNames[i] = "SNR performance";
DefaultSample curSample = (DefaultSample) sampleNames.get(i - attributeSize);
rowData[0][i] = curSample.getSampleKey();
} else if (i >= attributeSize + 1) {
DefaultSample curSample = (DefaultSample) sampleNames.get(i - attributeSize - 1);
columnNames[i] = curSample.getId();
rowData[0][i] = curSample.getSampleLabel();
}
}
for (int i = 1; i < rowData.length; i++) {
DefaultGene curGene = (DefaultGene) featureNames.get(i - 1);
for (int j = 0; j < columnNames.length; j++) {
if (j < attributeSize) {
rowData[i][j] = curGene.getAttribute(j);
} else if (j == attributeSize) {
rowData[i][j] = SNR[i - 1];
} else if (j >= attributeSize + 1) {
rowData[i][j] = data[j - attributeSize - 1][i - 1];
}
}
}
JTable table = new JTable(rowData, columnNames);
table.setGridColor(Color.DARK_GRAY);
return table;
}