MtkLinearRegressionCalc.c File Reference

#include "MisrRegression.h"
#include "MisrUtil.h"
#include <stdlib.h>
#include <math.h>

Go to the source code of this file.

Functions
MTKt_status	MtkLinearRegressionCalc (int Size, const double *X, const double *Y, const double *Y_Sigma, double *A, double *B, double *Correlation)
	Use linear regression to fit a set of observations (x,y) to the model: y(x) = a + b * x. The values of 'x' are assumed to be known exactly. The values of 'y' may have an associated uncertainty, 'y_sigma'. Measurements with larger uncertainty are given less weight. Uncertainty must be greater than 0. More...

Function Documentation

MtkLinearRegressionCalc()

MTKt_status MtkLinearRegressionCalc	(	int	Size,
		const double *	X,
		const double *	Y,
		const double *	Y_Sigma,
		double *	A,
		double *	B,
		double *	Correlation
	)

Use linear regression to fit a set of observations (x,y) to the model: y(x) = a + b * x. The values of 'x' are assumed to be known exactly. The values of 'y' may have an associated uncertainty, 'y_sigma'. Measurements with larger uncertainty are given less weight. Uncertainty must be greater than 0.

Returns

MTK_SUCCESS if successful.

Example:

double x[4] = {1,5,7,8};
double y[4] = {12,14,19,21};
double y_sigma[4] = {0.1,0.2,0.2,0.3};
double a, b;
status = MtkLinearRegressionCalc(4, x, y, y_sigma, &a, &b)

Note

Parameters

[in]	Size	Size of X and Y arrays
[in]	X	X array
[in]	Y	Y array
[in]	Y_Sigma	Uncertainty in Y
[out]	A	A
[out]	B	B
[out]	Correlation	Correlation

Definition at line 39 of file MtkLinearRegressionCalc.c.