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https://github.com/aportelli/LatAnalyze.git
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47 lines
1.5 KiB
C++
47 lines
1.5 KiB
C++
#include <iostream>
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#include <LatAnalyze/XYStatData.hpp>
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using namespace std;
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using namespace Latan;
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int main(void)
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{
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XYStatData f;
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f.addYDim("q1");
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f.addYDim("q2");
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f.addXDim("x1", 6);
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f.addXDim("x2", 5);
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f.addXDim("x3", 5);
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f.y(f.dataIndex(0,0,0), 0) = 2;
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f.y(f.dataIndex(1,1,1), 0) = 4;
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f.y(f.dataIndex(2,2,2), 0) = 5;
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f.y(f.dataIndex(2,3,3), 0) = 10;
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f.y(f.dataIndex(0,0,0), 1) = 1;
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f.y(f.dataIndex(1,1,1), 1) = 2;
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f.y(f.dataIndex(2,2,3), 1) = 4;
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f.fitPoint(false, f.dataIndex(2,2,2), 0);
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f.fitPoint(false, f.dataIndex(1,1,1), 1);
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f.assumeXXCorrelated(true, 0, 0, 1, 0);
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f.assumeXXCorrelated(true, 0, 1, 1, 1);
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f.assumeXXCorrelated(true, 0, 2, 1, 2);
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f.assumeXXCorrelated(true, 0, 0, 1, 2);
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f.assumeXXCorrelated(true, 3, 2, 4, 2);
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f.assumeYYCorrelated(true, f.dataIndex(0,0,0), 0, f.dataIndex(2,3,3), 0);
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f.assumeYYCorrelated(true, f.dataIndex(0,0,0), 1, f.dataIndex(2,2,3), 1);
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f.assumeXYCorrelated(true, 0, 0, f.dataIndex(1,1,1), 0);
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f.assumeXExact(true, 0);
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f.assumeXExact(true, 1);
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f.assumeXExact(true, 2);
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cout << f << endl;
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f.setXXVar(0, 0, DMat::Identity(6, 6));
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f.setXXVar(0, 2, DMat::Identity(6, 5));
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f.setXXVar(1, 1, DMat::Identity(5, 5));
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f.setXXVar(2, 2, DMat::Identity(5, 5));
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DEBUG_MAT(f.makeCorrFilter());
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DEBUG_MAT(f.getFitVar());
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DEBUG_MAT(f.getFitVar().cwiseProduct(f.makeCorrFilter()));
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return EXIT_SUCCESS;
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}
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