LinearModel.fit results to array
5 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
Hi,
I would like to ask about results from LinearModel.fit function. I used the function and it ran smoothly. However, I could not extract the result properly.
I have a 100 set of X and Y. What I would like to have is a array showing coefficient and R-square of all. I basically try to do a loop and have LinearModel.fit function inside. My problem is I could not write out coefficient from mdl.Coefficients and r-square from mdl.Rsquared.Ordinary value to save into my array.
I crated array 100 x 1 to save R-square value from each set. To sum up, how can I save the values of results from each set to array?
Thank you.
0 Kommentare
Antworten (3)
Leah
am 26 Aug. 2013
I was able to do it, i made a dataset mid to hold everything
md = LinearModel.fit()
mid.RsqAdj=md.Rsquared.Adjusted;
mid.Intercept=md.Coefficients.Estimate(1);
for c=2:length(md.CoefficientNames)
mid.(md.CoefficientNames{c})=md.Coefficients.Estimate(c);
end
2 Kommentare
the cyclist
am 26 Aug. 2013
mdl.Coefficients
is a variable of type dataset.
mdl.Coefficients.Estimate
will be an array of doubles, which I think is what you need.
2 Kommentare
the cyclist
am 27 Aug. 2013
Does calling this code give you a 5x1 double for mdl.Coefficients.Estimate?
load hald
X = ingredients; % predictor variables
y = heat; % response
mdl = LinearModel.fit(X,y)
mdl.Coefficients.Estimate
Siehe auch
Kategorien
Mehr zu Linear Algebra finden Sie in Help Center und File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!