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FitInterface data layout complete, first version of the new XYStatData

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Antonin Portelli
2016-03-15 16:38:57 +00:00
parent a4b1584645
commit b165a98a93
6 changed files with 706 additions and 175 deletions
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43
examples/exFit.cpp
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@ -1,35 +1,46 @@
#include <iostream>
#include <LatAnalyze/FitInterface.hpp>
#include <LatAnalyze/XYStatData.hpp>
using namespace std;
using namespace Latan;
int main(void)
{
FitInterface f;
XYStatData f;
f.addYDim("q1");
f.addYDim("q2");
f.addXDim("x1", 6);
f.addXDim("x2", 5);
f.addXDim("x3", 5);
f.registerDataPoint(f.dataIndex(0,0,0), 0);
f.registerDataPoint(f.dataIndex(1,1,1), 0);
f.registerDataPoint(f.dataIndex(2,2,2), 0);
f.registerDataPoint(f.dataIndex(2,3,3), 0);
f.registerDataPoint(f.dataIndex(0,0,0), 1);
f.registerDataPoint(f.dataIndex(1,1,1), 1);
f.registerDataPoint(f.dataIndex(2,2,3), 1);
f.y(f.dataIndex(0,0,0), 0) = 2;
f.y(f.dataIndex(1,1,1), 0) = 4;
f.y(f.dataIndex(2,2,2), 0) = 5;
f.y(f.dataIndex(2,3,3), 0) = 10;
f.y(f.dataIndex(0,0,0), 1) = 1;
f.y(f.dataIndex(1,1,1), 1) = 2;
f.y(f.dataIndex(2,2,3), 1) = 4;
f.fitPoint(false, f.dataIndex(2,2,2), 0);
f.fitPoint(false, f.dataIndex(1,1,1), 1);
f.assumeXXCorrelated(true, 0, 0, 0, 1);
f.assumeXXCorrelated(true, 1, 1, 0, 1);
f.assumeXXCorrelated(true, 2, 2, 0, 1);
f.assumeYYCorrelated(true, 0, 0, f.dataIndex(0,0,0), f.dataIndex(1,1,1));
f.assumeYYCorrelated(true, 1, 1, f.dataIndex(0,0,0), f.dataIndex(2,2,3));
f.assumeXYCorrelated(true, 0, 0, 0, f.dataIndex(1,1,1));
f.assumeXXCorrelated(true, 0, 0, 1, 0);
f.assumeXXCorrelated(true, 0, 1, 1, 1);
f.assumeXXCorrelated(true, 0, 2, 1, 2);
f.assumeXXCorrelated(true, 0, 0, 1, 2);
f.assumeXXCorrelated(true, 3, 2, 4, 2);
f.assumeYYCorrelated(true, f.dataIndex(0,0,0), 0, f.dataIndex(2,3,3), 0);
f.assumeYYCorrelated(true, f.dataIndex(0,0,0), 1, f.dataIndex(2,2,3), 1);
f.assumeXYCorrelated(true, 0, 0, f.dataIndex(1,1,1), 0);
f.assumeXExact(true, 0);
f.assumeXExact(true, 1);
f.assumeXExact(true, 2);
cout << f << endl;
f.updateLayout();
f.setXXVar(0, 0, DMat::Identity(6, 6));
f.setXXVar(0, 2, DMat::Identity(6, 5));
f.setXXVar(1, 1, DMat::Identity(5, 5));
f.setXXVar(2, 2, DMat::Identity(5, 5));
DEBUG_MAT(f.makeCorrFilter());
DEBUG_MAT(f.getFitVar());
DEBUG_MAT(f.getFitVar().cwiseProduct(f.makeCorrFilter()));
return EXIT_SUCCESS;
}