Read the help for randn. Does it tell you how to generate a matrix of samples from that distribution?
help randn
RANDN Normally distributed pseudorandom numbers.
R = RANDN(N) returns an N-by-N matrix containing pseudorandom values drawn
from the standard normal distribution. RANDN(M,N) or RANDN([M,N]) returns
an M-by-N matrix. RANDN(M,N,P,...) or RANDN([M,N,P,...]) returns an
M-by-N-by-P-by-... array. RANDN returns a scalar. RANDN(SIZE(A)) returns
an array the same size as A.
Note: The size inputs M, N, P, ... should be nonnegative integers.
Negative integers are treated as 0.
R = RANDN(..., CLASSNAME) returns an array of normal values of the
specified class. CLASSNAME can be 'double' or 'single'.
R = RANDN(..., 'like', Y) returns an array of normal values with
the same data type and complexity (real or complex) as the numeric
variable Y.
The sequence of numbers produced by RANDN is determined by the settings of
the uniform random number generator that underlies RAND, RANDN, and RANDI.
RANDN uses one or more uniform random values to create each normal random
value. Control that shared random number generator using RNG.
Examples:
Example 1: Generate values from a normal distribution with mean 1
and standard deviation 2.
r = 1 + 2.*randn(100,1);
Example 2: Generate values from a bivariate normal distribution with
specified mean vector and covariance matrix.
mu = [1 2];
Sigma = [1 .5; .5 2]; R = chol(Sigma);
z = repmat(mu,100,1) + randn(100,2)*R;
Example 3: Reset the random number generator used by RAND, RANDI, and
RANDN to its default startup settings, so that RANDN produces the same
random numbers as if you restarted MATLAB.
rng('default');
randn(1,5)
Example 4: Save the settings for the random number generator used by
RAND, RANDI, and RANDN, generate 5 values from RANDN, restore the
settings, and repeat those values.
s = rng
z1 = randn(1,5)
rng(s);
z2 = randn(1,5) % z2 contains exactly the same values as z1
Example 5: Reinitialize the random number generator used by RAND,
RANDI, and RANDN with a seed based on the current time. RANDN will
return different values each time you do this. NOTE: It is usually
not necessary to do this more than once per MATLAB session.
rng('shuffle');
randn(1,5)
See Replace Discouraged Syntaxes of rand and randn to use RNG to replace
RANDN with the 'seed' or 'state' inputs.
See also RAND, RANDI, RNG, RANDSTREAM, RANDSTREAM/RANDN
Documentation for randn
doc randn
Other uses of randn
codistributed/randn distributed/randn matlab/randn
codistributor1d/randn gpuArray/randn RandStream/randn
codistributor2dbc/randn
