MiscFunction.hxx File Reference

Header file for Regression and FindFitParameters functions. More...

#include <iostream>
#include <sstream>
#include <vector>
#include <string>

Go to the source code of this file.

Functions
void	Regression (int N, const vector< double > &x, const vector< double > &y, const vector< double > &y_sdev, double &A, double &B, double &A_sdev, double &B_sdev, double &chi2)
	Linear Regression function. More...
void	FindFitParameters (int N, const vector< double > &x, const vector< double > &y, const vector< double > &y_sdev, double &A, double &B)
	Find Slope and Intersept of fit. More...
string	__macro_method_name__ (string x)
	this is for METHOD_NAME macro, extracting method name from PRETTY_FUNCTION More...
string	wordwrap (string x, int w)
	word-wrap a string More...

Detailed Description

Header file for Regression and FindFitParameters functions.

Function Documentation

string __macro_method_name__

(

string

x

)

this is for METHOD_NAME macro, extracting method name from PRETTY_FUNCTION

void FindFitParameters	(	int	N,
		const vector< double > &	x,
		const vector< double > &	y,
		const vector< double > &	y_sdev,
		double &	A,
		double &	B
	)

Find Slope and Intersept of fit.

The method uses the Regression function.

Author

PTO

Version

1.0

Parameters

N	: Number of point to use for the regression
x	: vector of X axis (only the N first are taken into account)
y	: vector of Y axis value (only the N first are taken into account)
y_sdev	: vector of Y axis error value (only the N first are taken into account). if size=0 no weights are used
A	: the slope of the regression
B	: the intersept of the regression

void Regression	(	int	N,
		const vector< double > &	x,
		const vector< double > &	y,
		const vector< double > &	y_sdev,
		double &	A,
		double &	B,
		double &	A_sdev,
		double &	B_sdev,
		double &	chi2
	)

Linear Regression function.

The method is taken from Numerical Recipes and converted in C++ form.

Author

PTO

Version

1.0

Parameters

N	: Number of point to use for the regression
x	: vector of X axis (only the N first are taken into account)
y	: vector of Y axis value (only the N first are taken into account)
y_sdev	: vector of Y axis error value (only the N first are taken into account). if size=0 no weights are used
A	: the slope of the regression
B	: the intersept of the regression
A_sdev	: the slope error of the regression
B_sdev	: the slope intersept of the regression
chi2,:	the chi square

string wordwrap	(	string	x,
		int	w
	)

word-wrap a string

Parameters

x	: String to be wrapped
w	: Maximum width