How do I generate several datasets of random noise on MATLAB?

I want to generate a couple of datasets of random noise only, then ultimately increase the number of datasets to over 1000, so as to find a maximum value. Do I run some sort of loop? Here is my code so far, for one set:

% set length

l = [1:1440];

% generate single set of noise

N = randn(1,1440);

% plot noise over length

plot(l,N)

Answer 1

[Kye Taylor]

The command

N = randn(1440,1000);

will generate 1000 datasets comprising 1440 Gaussian random numbers and store them as columns of the matrix N.

Then

plot(N)

will result in a huge mess on the current axes :).

Then, try

max(N)

to get the maximum value for each of the 1000 datasets, or try

max(N(:))

to get the maximum of all 1440000 random numbers.