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C++ source code to calculate a simple linear regression line.
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#include "calc.hpp" | |
#include <iostream> | |
#include <sstream> | |
#include <vector> | |
/** | |
* @brief 単回帰直線の計算 | |
* | |
* @param[ref] 切片 a (double) | |
* @param[ref] 傾き b (double) | |
* @return 真偽(bool) | |
* @retval true 成功 | |
* @retval false 失敗 | |
*/ | |
bool Calc::reg_line(double& a, double& b) { | |
unsigned int i; // loop インデックス | |
double s_x = 0.0; // sum(x) | |
double s_y = 0.0; // sum(y) | |
double s_xx = 0.0; // sum(xx) | |
double s_xy = 0.0; // sum(xy) | |
try { | |
// データ数 | |
cnt = data.size(); | |
// sum(x), sum(y), sum(xx), sum(xy) | |
for (i = 0; i < cnt; i++) { | |
s_x += data[i][0]; | |
s_y += data[i][1]; | |
s_xx += data[i][0] * data[i][0]; | |
s_xy += data[i][0] * data[i][1]; | |
} | |
// 行列1行目 | |
mtx.push_back({(double)cnt, s_x, s_y}); | |
// 行列2行目 | |
mtx.push_back({s_x, s_xx, s_xy}); | |
// 計算(ガウスの消去法) | |
if (!solve_ge(mtx)) { | |
std::cout << "[ERROR] Failed to solve by the Gauss-Ellimination method!" | |
<< std::endl; | |
return false; | |
} | |
// 切片、傾き | |
a = mtx[0][2]; | |
b = mtx[1][2]; | |
} catch (...) { | |
return false; // 計算失敗 | |
} | |
return true; // 計算成功 | |
} | |
/** | |
* @brief ガウスの消去法 | |
* | |
* @param[ref] 行列(配列) mtx (double) | |
* @return 真偽(bool) | |
* @retval true 成功 | |
* @retval false 失敗 | |
*/ | |
bool Calc::solve_ge(std::vector<std::vector<double>>& mtx) { | |
int i; // loop インデックス | |
int j; // loop インデックス | |
int k; // loop インデックス | |
int n; // 元(行)の数 | |
double d; // 計算用 | |
try { | |
n = (int)mtx.size(); | |
// 前進消去 | |
for (k = 0; k < n - 1; k++) { | |
for (i = k + 1; i < n; i++) { | |
d = mtx[i][k] / mtx[k][k]; | |
for (j = k + 1; j <= n; j++) | |
mtx[i][j] -= mtx[k][j] * d; | |
} | |
} | |
// 後退代入 | |
for (i = n - 1; i >= 0; i--) { | |
d = mtx[i][n]; | |
for (j = i + 1; j < n; j++) | |
d -= mtx[i][j] * mtx[j][n]; | |
mtx[i][n] = d / mtx[i][i]; | |
} | |
} catch (...) { | |
return false; // 計算失敗 | |
} | |
return true; // 計算成功 | |
} |
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#ifndef REGRESSION_LINE_CALC_HPP_ | |
#define REGRESSION_LINE_CALC_HPP_ | |
#include <vector> | |
class Calc { | |
std::vector<std::vector<double>> data; // 元データ | |
std::vector<std::vector<double>> mtx; // 計算用行列 | |
bool solve_ge(std::vector<std::vector<double>>&); // ガウスの消去法 | |
public: | |
Calc(std::vector<std::vector<double>>& data) : data(data) {} | |
unsigned int cnt; // データ件数 | |
bool reg_line(double&, double&); // 単回帰直線の計算 | |
}; | |
#endif |
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#include "file.hpp" | |
#include <iostream> | |
#include <sstream> | |
#include <string> | |
#include <vector> | |
bool File::get_text(std::vector<std::vector<double>>& data) { | |
try { | |
// ファイル OPEN | |
std::ifstream ifs(f_data); | |
if (!ifs.is_open()) return false; // 読み込み失敗 | |
// ファイル READ | |
std::string buf; // 1行分バッファ | |
while (getline(ifs, buf)) { | |
std::vector<double> rec; // 1行分ベクタ | |
std::istringstream iss(buf); // 文字列ストリーム | |
std::string field; // 1列分文字列 | |
// 1行分文字列を1行分ベクタに追加 | |
double x, y; | |
while (iss >> x >> y) { | |
rec.push_back(x); | |
rec.push_back(y); | |
} | |
// 1行分ベクタを data ベクタに追加 | |
if (rec.size() != 0) data.push_back(rec); | |
} | |
} catch (...) { | |
std::cerr << "EXCEPTION!" << std::endl; | |
return false; | |
} | |
return true; // 読み込み成功 | |
} |
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#ifndef REGRESSION_LINE_FILE_HPP_ | |
#define REGRESSION_LINE_FILE_HPP_ | |
#include <fstream> | |
#include <string> | |
#include <vector> | |
class File { | |
std::string f_data; | |
public: | |
File(std::string f_data) : f_data(f_data) {} | |
bool get_text(std::vector<std::vector<double>>&); | |
}; | |
#endif |
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/*********************************************************** | |
単回帰直線計算 | |
: y = a + b * x | |
: 連立方程式をガウスの消去法で解く方法 | |
DATE AUTHOR VERSION | |
2020.04.30 mk-mode.com 1.00 新規作成 | |
Copyright(C) 2020 mk-mode.com All Rights Reserved. | |
***********************************************************/ | |
#include "calc.hpp" | |
#include "file.hpp" | |
#include <cstdlib> // for EXIT_XXXX | |
#include <iomanip> // for setprecision | |
#include <iostream> | |
#include <string> | |
#include <vector> | |
int main(int argc, char* argv[]) { | |
std::string f_data; // データファイル名 | |
std::vector<std::vector<double>> data; // データ配列 | |
std::size_t i; // loop インデックス | |
double a; // 切片 | |
double b; // 傾き | |
try { | |
// コマンドライン引数のチェック | |
if (argc != 2) { | |
std::cerr << "[ERROR] Number of arguments is wrong!\n" | |
<< "[USAGE] ./regression_line <file_name>" | |
<< std::endl; | |
return EXIT_FAILURE; | |
} | |
// ファイル名取得 | |
f_data = argv[1]; | |
// データ取得 | |
File file(f_data); | |
if (!file.get_text(data)) { | |
std::cout << "[ERROR] Failed to read the file!" << std::endl; | |
return EXIT_FAILURE; | |
} | |
// データ一覧出力 | |
std::cout << std::fixed << std::setprecision(4); | |
std::cout << "説明変数 X 目的変数 Y" << std::endl; | |
for (i = 0; i < data.size(); i++) | |
std::cout << std::setw(10) << std::right << data[i][0] | |
<< " " | |
<< std::setw(10) << std::right << data[i][1] | |
<< std::endl; | |
// 計算 | |
Calc calc(data); | |
if (!calc.reg_line(a, b)) { | |
std::cout << "[ERROR] Failed to calculate!" << std::endl; | |
return EXIT_FAILURE; | |
} | |
// 結果出力 | |
std::cout << std::fixed << std::setprecision(8); | |
std::cout << "---\n" | |
<< "切片 a = " << std::setw(16) << std::right << a | |
<< "\n" | |
<< "傾き b = " << std::setw(16) << std::right << b | |
<< std::endl; | |
} catch (...) { | |
std::cerr << "EXCEPTION!" << std::endl; | |
return EXIT_FAILURE; | |
} | |
return EXIT_SUCCESS; | |
} |
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