mirror of
https://github.com/aportelli/LatAnalyze.git
synced 2024-11-10 00:45:36 +00:00
104 lines
3.5 KiB
C++
104 lines
3.5 KiB
C++
/*
|
|
* sample-element.cpp, part of LatAnalyze 3
|
|
*
|
|
* Copyright (C) 2013 - 2016 Antonin Portelli, Matt Spraggs
|
|
*
|
|
* LatAnalyze 3 is free software: you can redistribute it and/or modify
|
|
* it under the terms of the GNU General Public License as published by
|
|
* the Free Software Foundation, either version 3 of the License, or
|
|
* (at your option) any later version.
|
|
*
|
|
* LatAnalyze 3 is distributed in the hope that it will be useful,
|
|
* but WITHOUT ANY WARRANTY; without even the implied warranty of
|
|
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
|
* GNU General Public License for more details.
|
|
*
|
|
* You should have received a copy of the GNU General Public License
|
|
* along with LatAnalyze 3. If not, see <http://www.gnu.org/licenses/>.
|
|
*/
|
|
|
|
#include <LatCore/OptParser.hpp>
|
|
#include <LatAnalyze/Io.hpp>
|
|
#include <LatAnalyze/MatSample.hpp>
|
|
|
|
using namespace std;
|
|
using namespace Latan;
|
|
|
|
int main(int argc, char* argv[])
|
|
{
|
|
// argument parsing ////////////////////////////////////////////////////////
|
|
OptParser opt;
|
|
bool parsed;
|
|
string inFilename, outFilename;
|
|
Index r, c, nr, nc;
|
|
|
|
opt.addOption("r", "row", OptParser::OptType::value , false,
|
|
"row");
|
|
opt.addOption("c", "col", OptParser::OptType::value , false,
|
|
"column");
|
|
opt.addOption("" , "nrow", OptParser::OptType::value , true,
|
|
"number of rows (default: 1)", "1");
|
|
opt.addOption("" , "ncol", OptParser::OptType::value , true,
|
|
"number of columns (default: 1)", "1");
|
|
opt.addOption("o", "output", OptParser::OptType::value , true,
|
|
"output file name (default: result not saved)", "");
|
|
opt.addOption("" , "help" , OptParser::OptType::trigger, true,
|
|
"show this help message and exit");
|
|
parsed = opt.parse(argc, argv);
|
|
if (!parsed or (opt.getArgs().size() != 1) or opt.gotOption("help"))
|
|
{
|
|
cerr << "usage: " << argv[0];
|
|
cerr << " <options> <input file>" << endl;
|
|
cerr << endl << "Possible options:" << endl << opt << endl;
|
|
|
|
return EXIT_FAILURE;
|
|
}
|
|
inFilename = opt.getArgs()[0];
|
|
outFilename = opt.optionValue("o");
|
|
r = opt.optionValue<Index>("r");
|
|
c = opt.optionValue<Index>("c");
|
|
nr = opt.optionValue<Index>("nrow");
|
|
nc = opt.optionValue<Index>("ncol");
|
|
|
|
// Data extraction /////////////////////////////////////////////////////////
|
|
auto inputData = Io::load<DMatSample>(inFilename);
|
|
|
|
if ((nr == 1) and (nc == 1))
|
|
{
|
|
DSample outputData(inputData.size());
|
|
|
|
FOR_STAT_ARRAY(inputData, s)
|
|
{
|
|
outputData[s] = inputData[s](r, c);
|
|
}
|
|
|
|
cout << scientific;
|
|
cout << "central value:\n" << outputData[central] << endl;
|
|
cout << "standard deviation:\n";
|
|
cout << sqrt(outputData.variance()) << endl;
|
|
if (not outFilename.empty())
|
|
{
|
|
Io::save(outputData, outFilename);
|
|
}
|
|
}
|
|
else
|
|
{
|
|
DMatSample outputData(inputData.size(), nr, nc);
|
|
|
|
FOR_STAT_ARRAY(inputData, s)
|
|
{
|
|
outputData[s] = inputData[s].block(r, c, nr, nc);
|
|
}
|
|
cout << scientific;
|
|
cout << "central value:\n" << outputData[central] << endl;
|
|
cout << "standard deviation:\n";
|
|
cout << outputData.variance().cwiseSqrt() << endl;
|
|
if (not outFilename.empty())
|
|
{
|
|
Io::save(outputData, outFilename);
|
|
}
|
|
}
|
|
|
|
return EXIT_SUCCESS;
|
|
}
|