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83 lines
2.6 KiB
C++
83 lines
2.6 KiB
C++
/*
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* sample_plot_corr.cpp, part of LatAnalyze 3
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*
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* Copyright (C) 2013 - 2020 Antonin Portelli
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*
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* LatAnalyze 3 is free software: you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation, either version 3 of the License, or
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* (at your option) any later version.
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*
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* LatAnalyze 3 is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with LatAnalyze 3. If not, see <http://www.gnu.org/licenses/>.
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*/
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#include <LatAnalyze/Core/OptParser.hpp>
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#include <LatAnalyze/Io/Io.hpp>
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#include <LatAnalyze/Core/Math.hpp>
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#include <LatAnalyze/Core/Plot.hpp>
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using namespace std;
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using namespace Latan;
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using namespace Math;
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int main(int argc, char *argv[])
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{
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OptParser opt;
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bool parsed;
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string outCorrName = "", outVarName = "";
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opt.addOption("", "saveCorr", OptParser::OptType::value, true,
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"save correlation matrix (default: not saved)");
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opt.addOption("", "saveVar", OptParser::OptType::value, true,
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"save variance matrix (default: not saved)");
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opt.addOption("" , "help" , OptParser::OptType::trigger, true,
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"show this help message and exit");
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parsed = opt.parse(argc, argv);
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if (!parsed or (opt.getArgs().size() != 1) or opt.gotOption("help"))
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{
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cerr << "usage: " << argv[0];
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cerr << "<options> <sample file>" << endl;
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cerr << endl << "Possible options:" << endl << opt << endl;
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return EXIT_FAILURE;
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}
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if (opt.gotOption("saveCorr"))
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{
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outCorrName = opt.optionValue("saveCorr");
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}
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if (opt.gotOption("saveVar"))
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{
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outVarName = opt.optionValue("saveVar");
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}
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string fileName = opt.getArgs()[0], name;
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DMatSample sample;
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DMat var, corr;
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Plot p;
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cout << "-- computing variance matrix from '" << fileName << "'..." << endl;
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name = Io::getFirstName(fileName);
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sample = Io::load<DMatSample>(fileName);
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sample = sample.block(0, 0, sample[central].rows(), 1);
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var = sample.varianceMatrix();
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corr = sample.correlationMatrix();
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p << PlotMatrix(corr);
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p.display();
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if (!outVarName.empty())
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{
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Io::save(var, outVarName);
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}
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if (!outCorrName.empty())
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{
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Io::save(corr, outCorrName);
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}
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return EXIT_SUCCESS;
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}
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