Equal Sized random assortment, using randi?

Hello everyone,
I have used the following code to generate a matrix of random integers (1's and 2's). However, I am finding myself with an unequal amount of random integers in each column (e.g., eleven "1's" and eight "2's" in some columns). I would like to know how I could get a fixed amount of equally sized conditions using this function. In where, I could get ten "1's" and ten "2's" equally spread among all six columns, that still maintains a random order. Am I using the right function (randi) to do accomplish this? Please let me know if I am unclear with my question.
Kind regards,
T = [ ];
ii=1;
while ii<=20;
T(ii,:)= randi(2,1,8);
ii=ii+1;
end;

 采纳的回答

Chris: first you need to create a column vector with the desired number of 1s and 2s in the column. Then you need to use randperm() to scramble the order and stick it in your output array:
num1s = 10; % Whatever you want
num2s = 10; % Whatever you want
% Make a column vector with the specified number of 1s and 2s in it.
unscrambled = [ones(num1s, 1); 2 * ones(num2s, 1)]
rows = length(unscrambled);
columns = 16; % Whatever you want
output = zeros(rows, columns);
% Scramble and place into the output matrix.
for col = 1 : columns
sortOrder = randperm(rows);
output(:, col) = unscrambled(sortOrder);
end
output % See it in the command window.

5 个评论

Ha. Great minds think alike.
Evidently ours do too.
Wow truly incredible from the both of you!! Thank you so much
This line
rows = length(unscrambled);
will not work as desired if (num1s+num2s)<columns. To avoid a potential error I'd change it to
rows = size(unscrambled,1);
Chad, I don't understand what you're saying. If I change it to have
num1s = 4; % Whatever you want
num2s = 3; % Whatever you want
% Make a column vector with the specified number of 1s and 2s in it.
unscrambled = [ones(num1s, 1); 2 * ones(num2s, 1)]
rows = length(unscrambled);
columns = 9; % Whatever you want
output = zeros(rows, columns);
% Scramble and place into the output matrix.
for col = 1 : columns
sortOrder = randperm(rows);
output(:, col) = unscrambled(sortOrder);
end
output % See it in the command window.
so that 4+3 < 9, it still works just fine with the specified number of 1s and 2s in each column.
output =
2 1 2 2 1 1 1 1 1
1 1 2 1 2 1 1 1 1
1 2 1 1 1 2 1 1 2
2 1 1 1 1 1 2 2 1
1 1 1 2 2 1 1 2 1
2 2 2 1 1 2 2 2 2
1 2 1 2 2 2 2 1 2
And since unscrambled is a column vector, length(unscrambled) is the same as size(unscrambled, 1). How would there be an error?
Oh heck, you're right @Image Analyst. I misread, thinking that unscrambled was a matrix.

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更多回答(1 个)

This would be one way to define how many ones and how many twos in each column before randomizing them:
N_cols = 8; % number of columns
N_ones = 10; % number of ones in each column
N_twos = 10; % number of twos in each column
M = [ones(N_ones,N_cols);2*ones(N_twos,N_cols)];
imagesc(M)
% Shuffle the order of each column:
for k = 1:N_cols
M(:,k) = M(randperm(N_ones+N_twos),k);
end
imagesc(M)

1 个评论

Wow, truly mind-blowing, thanks a lot Chad, love the pictorial demonstration as well.

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