private CaseExpanderWrapper(DataWrapper wrapper) {
DataFilter filter = new CaseExpander();
DataSet columnDataModel = (DataSet) wrapper.getSelectedDataModel();
setDataModel(filter.filter(columnDataModel));
setSourceGraph(wrapper.getSourceGraph());
LogDataUtils.logDataModelList(
"Data in which case multipliers of parent node data have been multiplied out.",
getDataModelList());
}
public RegressionInterpolatorWrapper(DataWrapper data) {
if (data == null) {
throw new NullPointerException("The givan data must not be null");
}
DataModel model = data.getSelectedDataModel();
if ((!(model instanceof DataSet))) {
throw new IllegalArgumentException("Data must be tabular");
}
DataFilter interpolator = new RegressionInterpolator();
this.setDataModel(interpolator.filter((DataSet) model));
this.setSourceGraph(data.getSourceGraph());
LogDataUtils.logDataModelList(
"Parent data in which missing values have been replaced by regression predictions.",
getDataModelList());
}
/** Performs the action of loading a session from a file. */
public void actionPerformed(ActionEvent e) {
DataModel dataModel = getDataEditor().getSelectedDataModel();
if (dataModel instanceof DataSet) {
DataSet dataSet = (DataSet) dataModel;
DataFilter interpolator = new ModeInterpolator();
DataSet newDataSet = interpolator.filter(dataSet);
DataModelList list = new DataModelList();
list.add(newDataSet);
getDataEditor().reset(list);
getDataEditor().selectFirstTab();
} else if (dataModel instanceof ICovarianceMatrix) {
JOptionPane.showMessageDialog(JOptionUtils.centeringComp(), "Must be a tabular data set.");
}
}
