📄 linreg.m
字号:
function [a_fit, sig_a, yy, chisqr] = linreg(x,y,sigma)
% Function to perform linear regression (fit a line)
% Inputs
% x Independent variable
% y Dependent variable
% sigma Estimated error in y
% Outputs
% a_fit Fit parameters; a(1) is intercept, a(2) is slope
% sig_a Estimated error in the parameters a()
% yy Curve fit to the data
% chisqr Chi squared statistic
%* Evaluate various sigma sums
sigmaTerm = sigma .^ (-2);
s = sum(sigmaTerm);
sx = sum(x .* sigmaTerm);
sy = sum(y .* sigmaTerm);
sxy = sum(x .* y .* sigmaTerm);
sxx = sum((x .^ 2) .* sigmaTerm);
denom = s*sxx - sx^2;
%* Compute intercept a_fit(1) and slope a_fit(2)
a_fit(1) = (sxx*sy - sx*sxy)/denom;
a_fit(2) = (s*sxy - sx*sy)/denom;
%* Compute error bars for intercept and slope
sig_a(1) = sqrt(sxx/denom);
sig_a(2) = sqrt(s/denom);
%* Evaluate curve fit at each data point and compute Chi^2
yy = a_fit(1)+a_fit(2)*x; % Curve fit to the data
chisqr = sum( ((y-yy)./sigma).^2 ); % Chi square
return;
⌨️ 快捷键说明
复制代码
Ctrl + C
搜索代码
Ctrl + F
全屏模式
F11
切换主题
Ctrl + Shift + D
显示快捷键
?
增大字号
Ctrl + =
减小字号
Ctrl + -