How to make linear fit?
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Hi; I want to plot a linear fit for the graphic in the attached file. And also I want to calculate slope of this linear fit? How can I do this? File is in the attached file.. Thanks a lot.
Réponses (2)
Star Strider
le 22 Juin 2018
Try this:
I = openfig('test.fig');
Ax = gca;
L1 = findobj(Ax, 'Type','line'); % Find ‘line’ Object
x = L1.XData; % Extract X-Data
y = L1.YData; % Extract Y-Data
XL = [min(x) max(x)]; % Get X-Limits
P = [x(:), ones(size(x(:)))] \ y(:); % Estimate Linear Fit Parameters
LinFit = [XL(:) [1;1]] * P; % Linear Fit
Slope = P(1);
hold on
plot(XL, LinFit, '-r', 'LineWidth',1.5)
hold off
5 commentaires
Steven Lord
le 22 Juin 2018
Matt Dickson
le 22 Juin 2018
Also consider using polyfit to perform the regression and simplify the code, if you want it done in the script.
Star Strider
le 22 Juin 2018
My code estimates, calculates, and plots a linear fit.
It estimates the parameters as ‘P’, and then calculates a regression line in ‘LinFit’. This is likely more efficient than polyfit and polyval for a simple linear fit.
nancy
le 22 Juin 2018
Star Strider
le 22 Juin 2018
Modifié(e) : Star Strider
le 24 Juin 2018
To use polyfit:
I = openfig('test.fig');
L = findobj(gca, 'Type','line'); % Find ‘line’ Object
x = L(2).XData; % Extract X-Data
y = L(2).YData; % Extract Y-Data
x = x(y > -2); % Remove Outliers
y = y(y > -2); % Remove Outliers
XL = [min(x) max(x)]; % Get X-Limits
P = polyfit(x, y, 1); % Estimate Linear Fit Parameters
LinFit = polyval(P, XL); % Linear Fit
Slope = P(1);
figure
plot(x, y)
hold on
plot(XL, LinFit, '-r', 'LineWidth',1.5)
hold off

EDIT — Added plot image.
Image Analyst
le 23 Juin 2018
0 votes
See my attached polyfit() demo.

2 commentaires
nancy
le 24 Juin 2018
Image Analyst
le 24 Juin 2018
The demo runs fine. How did you change it? Post your data and code.
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