Randomly generate a matrix of zeros and ones with a non-uniform bias
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Can anyone help me to generate a matrix of zeros and ones randomly without uniformly distributing like the function of "randint". Instead with the number of ones must be larger than zeros in an array.
For example, a matrix like this:
A= [ 1 1 1 1 0 1 0, 1 0 1 1 1 1 1, 1 1 0 1 1 0 0]
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Jos (10584)
2011-2-11
The following gives you a matrix with exactly a certain number of 1's
sizeR = [3 4] ;
num1 = 8 ;
R = zeros(sizeR) % set all to zero
ix = randperm(numel(R)) % randomize the linear indices
ix = ix(1:num1) % select the first
R(ix) = 1 % set the corresponding positions to 1
By the way, if the only values in R are 0 and 1 than logical arrays may be worthwhile to explore, as they are less memory consuming than double arrays.
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Nima Mahanfar
2015-6-17
Thanks, this was very helpful. Is there a way to make these ones being adjacent elements? example for 6x3 matrix with two 1's: [1 1 0 0 0 0; 0 0 0 0 0 0; 0 0 0 0 0 0]
Nima Mahanfar
2015-6-17
Thanks, this was very helpful. Is there a way to make these ones being adjacent elements? example for 6x3 matrix with two 1's: [1 1 0 0 0 0; 0 0 0 0 0 0; 0 0 0 0 0 0]
Walter Roberson
2011-2-11
0 + (rand(7,3) > 0.4)
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Bruno Luong
2011-2-11
Not that matter, but in light of the recent discussion, in order to generate a 0.4 probability of zeros, the more accurate RAND() cut is:
s = 2^(-53)
cut = 0.4*(1-s)+s/2
r = rand > cut
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