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

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!

Answer 1

[Adam]

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.

[Camilla Lincetto]

Thank you! Now it runs! But at the end I don't understand why my command created the conflict...

[Camilla Lincetto]

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..

Answer 2

[Camilla Lincetto]

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.