#include #include #include #include #include #include using namespace std; using namespace Latan; const Index nPoint = 30; const double xErr = .2, 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 x1_k, x2_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) { x1_k = rg.gaussian(k*dx, xErr); x2_k = rg.gaussian(k*dx, xErr); data.x(k) = x1_k; data.y(k) = rg.gaussian(f(&x2_k, exactPar), yErr); printf("% 8e % 8e % 8e % 8e\n", data.x(k), data.y(k), xErr, yErr); } 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; p = data.fit(minimizer, init, f); cout << "a= " << p(0) << " b= " << p(1) << endl; cout << "chi^2/ndof= " << p.getChi2PerDof() << endl; cout << "p-value= " << p.getPValue() <