private boolean
testIfRegressionWasSuccessful() { // **** TODO Design a more effective scheme to test for NR
// success
// Test if the regression analysis was successful based on the LRE line R2
Double r2 = profile.getR2();
Double emaxNR = profile.getNrEmax();
// Very, very crude approach
if (r2 < 0.8 || r2.isNaN() || emaxNR < 0.3) {
// Error dialog DISABLED as it is extremely irrating
// Toolkit.getDefaultToolkit().beep();
// SimpleDateFormat sdf = new SimpleDateFormat("dMMMyy");
// JOptionPane.showMessageDialog(WindowManager.getDefault().getMainWindow(),
// "The nonlinear regression analysis has failed for well '"
// + sdf.format(profile.getRunDate()) + ": "
// + profile.getWellLabel() + "'.\n"
// + "LRE analysis will be conducted without baseline-slope correction",
// "Failed to Apply Nonlinear Regression.",
// JOptionPane.ERROR_MESSAGE);
// Reset the LRE window using Fb
profile.setWasNonlinearRegressionSuccessful(false);
profile.setNrFb(0);
profile.setNrFbSlope(0);
// Return to average Fb background subtraction
LreWindowSelector.substractBackgroundUsingAvFc(profile);
// Recalculate the LRE parameters
prfSum.update();
// Reinitialize the profile
List<LreWindowSelectionParameters> l =
prfSum.getDatabase().getAllObjects(LreWindowSelectionParameters.class);
LreWindowSelectionParameters parameters = l.get(0);
LreAnalysisService lreAnalService = Lookup.getDefault().lookup(LreAnalysisService.class);
lreAnalService.lreWindowInitialization(prfSum, parameters);
return false;
}
profile.setWasNonlinearRegressionSuccessful(true);
return true;
}
