#include #include #include #include #include #include using namespace std; using namespace Latan; const Index nPoint = 30; const double xErr = .01, yErr = .1; const double exactPar[2] = {0.5,5.0}, dx = 10.0/static_cast(nPoint); int main(void) { // generate fake data XYStatData data; RandGen rg; double x_k, y_k; DoubleModel f([](const double *x, const double *p) {return p[1]*exp(-x[0]*p[0]);}, 1, 2); data.addXDim("x", nPoint); data.addYDim("y"); for (Index k = 0; k < nPoint; ++k) { x_k = k*dx + rg.gaussian(0.0, xErr); y_k = f(&x_k, exactPar) + rg.gaussian(0.0, yErr); printf("% 8e % 8e % 8e % 8e\n", x_k, xErr, y_k, yErr); data.x(k) = x_k; data.y(k) = y_k; } cout << endl; data.setXError(0, DVec::Constant(nPoint, xErr)); data.setYError(0, DVec::Constant(nPoint, yErr)); cout << data << endl; // fit DVec init = DVec::Constant(2, 0.5); FitResult p; MinuitMinimizer minimizer; minimizer.setVerbosity(MinuitMinimizer::Verbosity::Debug); p = data.fit(minimizer, init, f); cout << "a= " << p(0) << " b= " << p(1); cout << " chi^2/ndof= " << p.getChi2PerDof(); cout << " p-value= " << p.getPValue() <