From 8ef69a48437abe5a58c8c0504196fb7701c8ae77 Mon Sep 17 00:00:00 2001
From: Antonin Portelli <antonin.portelli@me.com>
Date: Wed, 30 Mar 2016 15:19:11 +0100
Subject: [PATCH] more code cleaning

---
 examples/exFit.cpp     |  2 +-
 examples/exFit.old.cpp | 54 ------------------------------------------
 2 files changed, 1 insertion(+), 55 deletions(-)
 delete mode 100644 examples/exFit.old.cpp

diff --git a/examples/exFit.cpp b/examples/exFit.cpp
index 2c36333..0ff29d0 100644
--- a/examples/exFit.cpp
+++ b/examples/exFit.cpp
@@ -9,7 +9,7 @@
 using namespace std;
 using namespace Latan;
 
-const Index  nPoint1 = 5, nPoint2 = 5;
+const Index  nPoint1 = 10, nPoint2 = 10;
 const double xErr = .1, yErr   = .1;
 const double exactPar[2] = {0.5,5.};
 const double dx1 = 10.0/static_cast<double>(nPoint1);
diff --git a/examples/exFit.old.cpp b/examples/exFit.old.cpp
deleted file mode 100644
index a888eb2..0000000
--- a/examples/exFit.old.cpp
+++ /dev/null
@@ -1,54 +0,0 @@
-#include <iostream>
-#include <cmath>
-#include <LatAnalyze/CompiledModel.hpp>
-#include <LatAnalyze/MinuitMinimizer.hpp>
-#include <LatAnalyze/Plot.hpp>
-#include <LatAnalyze/RandGen.hpp>
-#include <LatAnalyze/XYStatData.hpp>
-
-using namespace std;
-using namespace Latan;
-
-const Index  nPoint = 20;
-const double exactPar[2] = {0.5,5.0}, dx = 10.0/static_cast<double>(nPoint);
-
-int main(void)
-{
-    // generate fake data
-    XYStatData  data(nPoint, 1, 1);
-    RandGen     rg;
-    double      x_k, y_k;
-    DoubleModel f = compile("return p_1*exp(-x_0*p_0);", 1, 2);
-
-    for (Index k = 0; k < nPoint; ++k)
-    {
-        x_k          = k*dx;
-        y_k          = f(&x_k, exactPar) + rg.gaussian(0.0, 0.1);
-        cout << x_k << " " << y_k << " " << 0.1 << endl;
-        data.x(0, k) = x_k;
-        data.y(0, k) = y_k;
-    }
-    data.yyVar(0, 0).diagonal() = DMat::Constant(nPoint, 1, 0.1*0.1);
-    data.assumeXExact(0);
-
-    // fit
-    DVec init = DVec::Constant(2, 0.5);
-    FitResult p;
-    MinuitMinimizer minimizer;
-    
-    data.fitAllPoints();
-    p = data.fit(minimizer, init, f);
-    
-    cout << "a= " << p(0) << " b= " << p(1);
-    cout << " chi^2/ndof= " << p.getChi2PerDof();
-    cout << " p-value= " << p.getPValue() <<endl;
-
-    // plot result
-    Plot plot;
-    
-    plot << LogScale(Axis::y) << PlotData(data);
-    plot << Color("rgb 'blue'") << PlotFunction(p.getModel(), 0.0, 10.0);
-    plot.display();
-    
-    return EXIT_SUCCESS;
-}