You just say you want a distribution of numbers that is not uniform. But if you say only what it is not, that is not enough to say what it is. If I tell you that my car is not red, do you know the color?
If you have the stats toolbox, then you will most easily use a beta distribution to generate samples. A beta gives you a lot of control over the shape. For example, we can get a roughly triangular distribution of numbers using 2 and 1 as beta parameters.
X = betarnd(2,1,[10000,1]);
hist(X,100)
But you can slso get what you may want using a simple transformation of rand, if you don't have the stats toolbox.
X = rand(10000,1).^(0.4);
hist(X,100)
By controlling the power you raise those numbers to, you can have a fiar amount of control. If the power is 0.5, again you will get a triangular distrbution.
You can generate more ones than zeros using a discrete random number generator. But you can do that as eaily using rand. For example, if you want 70% ones, this will do it:
Y = rand(10000,1) < 0.7;
hist(Y)
As you see, we have 70% ones in the vector.
It is up to you to decide what you want though, and that will help you choose a random number tool for your purposes,
