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This is an UNSTABLE release. The release has significant modifications for data processing - in case of troubles go back to 1.0.0-rc.144. jfjoch_process: Generate a dedicated file (_process.h5), which can be used as a replacement for the _master.h5 file for a reanalyzed dataset. jfjoch_process: Improve the performance of scaling and merging, implement on the fly scaling. jfjoch_writer: All final data analysis results are repopulated in the _master.h5 file. jfjoch_scale: Dedicated tool for rescaling/merging existing data. jfjoch_viewer: Fix bugs where pixel labels where displayed on a wrong pixel. WARNING! Scaling and merging are experimental at the moment, and may not provide reasonable results for the time being. Reviewed-on: #56
34 lines
814 B
C++
34 lines
814 B
C++
//
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// Created by leonarski_f on 18.05.2026.
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//
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#include <cmath>
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#include "CorrelationCoefficient.h"
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void CorrelationCoefficient::Add(double x, double y) {
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sum_x += x;
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sum_y += y;
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sum_x2 += x * x;
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sum_y2 += y * y;
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sum_xy += x * y;
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n_cc++;
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}
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double CorrelationCoefficient::GetCC() const {
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if (n_cc < 2)
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return NAN;
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const double n = static_cast<double>(n_cc);
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const double mean_x = sum_x / n;
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const double mean_y = sum_y / n;
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const double cov = sum_xy / n - mean_x * mean_y;
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const double var_x = sum_x2 / n - mean_x * mean_x;
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const double var_y = sum_y2 / n - mean_y * mean_y;
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if (!(var_x > 0.0 && var_y > 0.0))
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return NAN;
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return cov / std::sqrt(var_x * var_y);
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}
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