mnrnd - Multinomial random numbers
Syntax
r = mnrnd(n,p)
R = mnrnd(n,p,m)
R = mnrnd(N,P)
Description
r = mnrnd(n,p) returns random values r from
the multinomial distribution with parameters n and p. n is
a positive integer specifying the number of trials (sample size) for
each multinomial outcome. p is a 1-by-k vector
of multinomial probabilities, where k is the number
of multinomial bins or categories. p must sum to
one. (If p does not sum to one, r consists
entirely of NaN values.) r is
a 1-by-k vector, containing counts for each of
the k multinomial bins.
R = mnrnd(n,p,m) returns m random
vectors from the multinomial distribution with parameters n and p. R is
a m-by-k matrix, where k is
the number of multinomial bins or categories. Each row of R corresponds
to one multinomial outcome.
R = mnrnd(N,P) generates outcomes from
different multinomial distributions. P is a m-by-k matrix,
where k is the number of multinomial bins or categories
and each of the m rows contains a different set
of multinomial probabilities. Each row of P must
sum to one. (If any row of P does not sum to one,
the corresponding row of R consists entirely of NaN values.) N is
a m-by-1 vector of positive integers or a single
positive integer (replicated by mnrnd to a m-by-1
vector). R is a m-by-k matrix.
Each row of R is generated using the corresponding
rows of N and P.
Examples
Generate 2 random vectors with the same probabilities:
n = 1e3;
p = [0.2,0.3,0.5];
R = mnrnd(n,p,2)
R =
215 282 503
194 303 503
Generate 2 random vectors with different probabilities:
n = 1e3;
P = [0.2, 0.3, 0.5; ...
0.3, 0.4, 0.3;];
R = mnrnd(n,P)
R =
186 290 524
290 389 321See Also
mnpdf
Multinomial Distribution
 | mnrfit | | mnrval |  |
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