Asked by Simon
on 29 May 2013

Everytime i try using my datas and LinearModel.fit it works perfectly, but when i try to use it in a loop i always end up having a matrix (of the correct size) of empty cells... Somebody who has matlab R2013a on a MAC said my said was running perfectly but it doesn't seem to run on a PC with R2012a. Thanks in advance!

V = nchoosek(6,4) for i = 1:15 A{i}¨= V(i,:) end for i = 1:15 C{i} = horzcat(A{1,i}{1,1},A{1,i}{1,2},A{1,i}{1,3},A{1,i}{1,4}) end for i = 1:15 DATA{i} = [C{1,i} Y] %Y is my independent variable end for i = 1:15 REG{i} = LinearModel.fit(DATA{1,i})

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Answer by Sean de Wolski
on 29 May 2013

Accepted answer

Well this part doesn't work:

V = nchoosek(6,4) for i = 1:15 A{i}= V(i,:) end

because V is a scalar. Start using the debugger, run the following:

dbstop if error

Then run your script. It will stop and you'll be able to inspect what's causing the error.

Simon
on 30 May 2013

Good thinking. I made it work because i realised that LinearModel.fit is an object so i can't make many object in a matrix... but using only Varname.Rsquared.Adjusted can give me all the Rsquared im looking for in a matrix. The only problem is that it doesn't give me the var name anymore, only the answer :S. Is there a way to generate the Rsquared AND having the coefficient names for each answer at the same time? That would be great. I know the ''.Coefficients'' gives the coeff names but i don't know how to put it together WITH Rsquared :/

Thank you!

Answer by Tom Lane
on 30 May 2013

I don't really understand the question. But with the hint from Sean, I will show you the following code that will collect R-squared values from all of the fits into a single matrix.

V = nchoosek(1:6,4) Y = [1.1;2.5;3.2;1.5]; for i = 1:15 REG{i} = LinearModel.fit(V(i,:)',Y) end

rsq = zeros(15,1); for i=1:15 rsq(i,1) = REG{i}.Rsquared.Ordinary; end

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