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src/p/e/PEATDB-2.3/PEATDB/Ekin/Titration.py   PEATDB(Download)
                fit = E.getFitData(d)
                if fit != None and len(fit)>0 and fit['model'] != 'Linear':
                    ferrs = E.estimateExpUncertainty(d, runs=20, xuncert=xuncert, yuncert=yuncert, guess=guess)
                    if ferrs == None:
                        continue

src/p/e/PEATDB-2.3/PEATDB/plugins/KineticsAnalysis.py   PEATDB(Download)
            print 'estimating exp uncertainties..'
            for d in E.datasets:
                ferrs = E.estimateExpUncertainty(d, runs=10)
                E.addMeta(d, 'exp_errors', ferrs)
            E.saveProject(os.path.join(self.path, name.replace(' ','')+'_temp'))
                    E.fitDataset(dsetname, model='Residual Activity', conv=1e-6, silent=True)
                    try:
                        ferrs = E.estimateExpUncertainty(dsetname, runs=10)
                        E.addMeta(dsetname, 'exp_errors', ferrs)
                    except:
                        ferrs = E.estimateExpUncertainty(dsetname, runs=2)
        print 'estimating exp uncertainties for raw data..'
        for d in E.datasets:
            ferrs = E.estimateExpUncertainty(d, runs=10)
            E.addMeta(d, 'exp_errors', ferrs)
 
        print 'estimating exp uncertainties for MM data..'
        for d in mmdatasets:
            ferrs = E.estimateExpUncertainty(d, runs=10)
            E.addMeta(d, 'exp_errors', ferrs)