Generate matrix of uniformly distributed random integers
Note: MathWorks will remove the randint function from a future version of the Communications System Toolbox™ software. We strongly recommend that you use randi instead.
out = randint
out = randint(m)
out = randint(m,n)
out = randint(m,n,rg)
out = randint(m,n,rg,state)
out = randint generates a random scalar that is either 0 or 1, with equal probability.
out = randint(m) generates an m-by-m binary matrix, each of whose entries independently takes the value 0 with probability 1/2.
out = randint(m,n) generates an m-by-n binary matrix, each of whose entries independently takes the value 0 with probability 1/2.
out = randint(m,n,rg) generates an m-by-n integer matrix. If rg is zero, out is a zero matrix. Otherwise, the entries are uniformly distributed and independently chosen from the range
[0, rg-1] if rg is a positive integer
[rg+1, 0] if rg is a negative integer
Between min and max, inclusive, if rg = [min,max] or [max,min]
out = randint(m,n,rg,state) is the same as the syntax above, except that it first resets the state of the uniform random number generator rand to the integer state.
This function uses, by default, the Mersenne Twister algorithm by Nishimura and Matsumoto.
To generate a 10-by-10 matrix whose elements are uniformly distributed in the range from 0 to 7, use either of the following commands.
out = randint(10,10,[0,7]);
out = randint(10,10,8);