Why the error: Assignment has more non-singleton rhs dimensions than non-singleton subscripts???

2015 3 7
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更新时间：2015 3 7
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I have to create 180 matrices taking every time 60 different rows from a great Matrix called matrice_rend (239*10). So I thought I could create the follow for-loop, but matlab returns me the error: Assignment has more non-singleton rhs dimensions than non-singleton subscripts. How can I solve my problem?
matrice_rend=[energy materials industrials consdiscr consstaples healthcare financials it tcmsvs utilities]
% the previous command creates the great Matrix from which I have to take 60 rows every time and put them into a new Matrix.
matrice=zeros(60,10,180)
for t=1:180
matrice(60,10,t)=matrice_rend([t:(60+t-1)],:)
t=t+1;
end
Can anyone help me? Thank you!

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Adam
Adam 2015-3-7

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matrice(60,10,t)
is just a single element of your array that you are trying to assign to.
matrice(:,:,t) = ...
should give you what you want.
That syntax means you want to assign to all elements of the first and 2nd dimensions and singleton in the 3rd dimension - i.e. you want to assign a 60 * 10 -sized result.

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Camilla Lincetto
Camilla Lincetto 2015-3-7
Thank you! Now it runs! But at the end I don't understand why my command created the conflict...
Camilla Lincetto
Camilla Lincetto 2015-3-7
Please, can you see my new problem? I have mistaken posting it as comment :-) Now I have a new problem but I don't know how solve it....! Thank you..

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Camilla Lincetto
Camilla Lincetto 2015-3-7

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After I solved the problem which was object of the discussion, I tried to run this loop:
t=1 while t<=180
Etrasp(t,:)=mean(matrice(:,:,t))
E(:,t)=Etrasp(t,:)'
E_msci(t)=mean(mscieurope(t:(60+t-1)))
E_bench(t)=mean(benchmark(t:(60+t-1)))
var_msci(t)=var(mscieurope(t:(60+t-1)))
var_bench(t)=var(benchmark(t:(60+t-1)))
cov_rend(:,:,t)=cov(matrice(:,:,t))
i_covrend(:,:,t)=inv(cov_rend(:,:,t))
var_rend(:,t)=diag(cov(matrice(:,:,t)))
corr_rend(:,:,t)=corrcoef(matrice(:,:,t))
uno=ones(10,1)
unotrasp=uno'
a(t)=Etrasp(t,:)*i_covrend(:,:,t)*E
b(t)=Etrasp(t,:)*i_covrend(:,:,t)*uno
c(t)=unotrasp*i_covrend(:,:,t)*uno
d(t)=((a(t)*c(t))-(b(t)^2))/c(t)
G=[0:0.05:0.5]'
delta_msci(t)=mean(mscieurope(t:(60+t-1)))-(b(t)/c(t))
delta2_msci(t)=var_msci-(1/c)
delta_bench(t)=mean(benchmark(t:(60+t-1)))-(b(t)/c(t))
delta2_bench(t)=var_bench(t)-(1/c(t))
t=t+1;
end
Now the problem is that the calculations seem to stop at the second iteration, why this??? When I do these calculation on the total sample, it is ok! And also the dimensions of vectors and matrices match. Now the problem is:In an assignment A(I) = B, the number of elements in B and I must be the same. All is ok until the second iteration and then it stop.

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