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/*
* analysis/test-stats.cc
*
* Copyright 2019 by Medical Research Council
* Author: Paul Emsley
*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU Lesser General Public License as published
* by the Free Software Foundation; either version 3 of the License, or (at
* your option) any later version.
*
* This program 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 this program; if not, write to the Free Software
* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA
* 02110-1301, USA
*/
#include <iostream>
#include "stats.hh"
#include "coot-utils/exp-fit.hh"
int main(int argc, char **argv) {
int status = 0;
if (true) {
double A = 1.1;
double B = 2.2;
double C = 0.33;
std::vector<std::pair<double, double> > data;
unsigned int n = 20;
for (unsigned int i=0; i<(n+1); i++) {
double x = 0.1 * static_cast<double>(i);
double y = A + B * std::exp(C * x);
auto p = std::make_pair(x,y);
data.push_back(p);
}
coot::exponential_fit_with_offset ef(data);
for (unsigned int i=0; i<data.size(); i++) {
const double &x = data[i].first;
const double &y = data[i].second;
double model_y = ef.at(x);
std::cout << x << " " << y << " " << model_y << std::endl;
}
}
if (false) {
coot::stats::single s;
s.add(1); s.add(2); s.add(3);
s.add(4);
s.add(5); s.add(6); s.add(7); s.add(8);
s.add(9); s.add(10);
std::pair<double, double> mi = s.median_and_iqr();
std::cout << "median: " << mi.first << " irq " << mi.second << std::endl;
}
return status;
}
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