Method testHistogramBinomialML

tests/analysis/fit/FitTest.cpp:4112–4159

}

void FitTest::testHistogramBinomialML() {
	Spreadsheet spreadsheet(QStringLiteral("test"), false);
	AsciiFilter filter;

	const QString& fileName = QFINDTESTDATA(QLatin1String("data/Binomial.dat"));

	auto properties = filter.properties();
	properties.headerEnabled = false;
	filter.setProperties(properties);
	filter.readDataFromFile(fileName, &spreadsheet, AbstractFileFilter::ImportMode::Replace);

	QCOMPARE(spreadsheet.rowCount(), 100);
	QCOMPARE(spreadsheet.columnCount(), 1);

	Worksheet worksheet(QStringLiteral("test"), false);
	auto* plot = new CartesianPlot(QStringLiteral("plot"));
	worksheet.addChild(plot);

	auto* hist = new Histogram(QStringLiteral("Histogram"));
	plot->addChild(hist);
	hist->setDataColumn(spreadsheet.column(0));

	// Do the fit
	plot->addHistogramFit(hist, nsl_sf_stats_binomial);

	auto fit = dynamic_cast<XYFitCurve*>(plot->child<XYFitCurve>(0));
	QVERIFY(fit != nullptr);

	QCOMPARE(fit->name(), i18n("Distribution Fit to '%1'", hist->name()));
	// get results
	const XYFitCurve::FitResult& fitResult = fit->fitResult();

	QCOMPARE(fitResult.available, true);
	QCOMPARE(fitResult.valid, true);

	WARN(std::setprecision(15) << fitResult.paramValues.at(0));
	QCOMPARE(fitResult.paramValues.at(0), 270.);
	WARN(std::setprecision(15) << fitResult.paramValues.at(1));
	QCOMPARE(fitResult.paramValues.at(1), 0.4931);
	WARN(std::setprecision(15) << fitResult.errorValues.at(1));
	QCOMPARE(fitResult.errorValues.at(1), 0.0499952387733072);
	WARN(std::setprecision(15) << fitResult.paramValues.at(1) - fitResult.marginValues.at(1));
	QCOMPARE(fitResult.paramValues.at(1) - fitResult.marginValues.at(1), 0.482953993308348);
	WARN(std::setprecision(15) << fitResult.paramValues.at(1) + fitResult.margin2Values.at(1));
	QCOMPARE(fitResult.paramValues.at(1) + fitResult.margin2Values.at(1), 0.503287947118723);

	QCOMPARE(fitResult.paramValues.at(2), spreadsheet.rowCount());
}

QTEST_MAIN(FitTest)