How do I replace elements in a vector with other vectors?

Question

Cai Chin 2021-2-22

0
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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/752154-how-do-i-replace-elements-in-a-vector-with-other-vectors

回答： Anmol Dhiman 2021-2-27

Hi, I am attempting to replace elements in the vectors seq1, 2 and 3 each with 12 numbers randomly chosen between 1 and 9. I have an array named rectColor1. I am trying to replace elements in the vectors seq1, 2 and 3 with the elements from the rectColor arrays. I have attempted to do so using the following code, but it keeps saying that there are an unequal number of elements on the left and right sides. How would I go about resolving this issue? Any help would be greatly appreciated, thanks in advance:

% Define grayscales 
rectColor{1} = [0.1 0.1 0.1];
rectColor{2} = [0.15 0.15 0.15];
rectColor{3} = [0.22 0.22 0.22];
rectColor{4} = [0.30 0.30 0.30];
rectColor{5} = [0.40 0.40 0.40];
rectColor{6} = [0.55 0.55 0.55];
rectColor{7} = [0.7 0.7 0.7];
rectColor{8} = [0.85 0.85 0.85];
rectColor{9} = [1 1 1];
trialorder = [1 2 3 4];
randtemp = Shuffle(trialorder);
% Define distributions 
    if randtemp(currenttrialinblock) == 1 % No mean difference (control)
    seq1 = dis(1, 5, 9, 1, 12);
    seq2 = dis(4, 5, 9, 1, 12);
    seq3 = dis(1, 5, 9, 1, 12);
    elseif randtemp(currenttrialinblock) == 2  % Small mean difference
    seq1 = dis(1, 4, 9, 1, 12);
    seq2 = dis(4, 5, 9, 1, 12);
    seq3 = dis(1, 6, 9, 1, 12);
    elseif randtemp(currenttrialinblock) == 3  % Large mean difference
    seq1 = dis(1, 3, 9, 1, 12);
    seq2 = dis(1, 5, 9, 1, 12);
    seq3 = dis(1, 7, 9, 1, 12);
    elseif randtemp(currenttrialinblock) == 4 % No mean difference (manipulation)
    seq1 = dis(1, 5, 9, 1, 12);
    seq2 = dis(4, 5, 9, 1, 12);
    seq3 = dis(1, 5, 9, 1, 12);
    end  
% Substitute numbers for grayscale images
for i = 1:12
   seq1(i) = rectColor{seq1(i)};     
end
for i = 1:12
   seq2(i) = rectColor{seq2(i)};     
end
for i = 1:12
   seq3(i) = rectColor{seq3(i)};     
end
function x = dis(va, mu, ul, ll, nvals)
n = makedist('Normal','mu', mu,'sigma',sqrt(va));
t = truncate(n,ll,ul);
x = floor(random(t,nvals,1) + 0.5);
end