Subscripted assignment dimension mismatch in for loop

Does anyone know what's wrong with this? I have tdatas and tissdatas with size (225x4). Every time I run this, I get the following error: Subscripted assignment dimension mismatch. Where am I wrong in this code? I just don't understand it or find it.
for i=1:length(tdatas(1,:))
fun = @(p,tdatas) objfunction(p,tdatas,tu);
z(i)=lsqcurvefit(fun,param0,tdatas(:,i),...
tissdatas(:,i),[0 0 0 0],[1 1 1 1],options);
end

1 个评论

Or the following: In an assignment A(:) = B, the number of elements in A and B must be the same.

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 采纳的回答

You are estimating and returning 4 parameters, and assigning them to a 1 dimensional scalar. I do not know whether you are returning row or column vectors, so the easiest way is to use ‘z’ as a cell array:
z{i} = lsqcurvefit(fun,param0,tdatas(:,i),...
tissdatas(:,i),[0 0 0 0],[1 1 1 1],options);
Note the curly brackets ‘{}’ denoting cell array indexing.

4 个评论

This work, I don't know why. But it should return a scalar value? since I index tdatas(:,1)? Or is it because of my anonymous function? So it looks like it doesn't return a scalar value then. Hmm weird.
It should not return a scalar value in your code. (It would if you were only fitting one parameter.) The lsqcurvefit function estimates (and returns) the best-fit parameter vector for your model and data (and other outputs if you ask for them).
The lsqcurvefit function returns a vector because your anonymous function fits 4 parameters. There is nothing wrong with your code or with lsqcurvefit.
Please see the documentation on lsqcurvefit for an explanation of what it returns.
Oh sorry, yes, you are right! It will return 4 parameters. You are the best man! haha

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