R = mvtrnd(C,nu)
returns random numbers sampled from a multivariate t distribution with
the correlation matrix C and nu degrees of
freedom.
R = mvtrnd(C,nu,n)
returns a matrix R of n random vectors selected
from the same multivariate t distribution, with the correlation matrix
C and nu degrees of freedom.
Correlation matrix, specified as a square, symmetric, positive definite matrix. If
the diagonal elements of C are not all 1 (that is, if
C is a covariance matrix rather than a correlation matrix), then
the mvtrnd function rescales C to transform
it to a correlation matrix before generating the random numbers.
Data Types: single | double
Degrees of freedom of the multivariate t distribution, specified
as a positive scalar or a 1-by-n vector of positive scalars if you
specify n.
Data Types: single | double
Number of multivariate random number vectors, specified as a positive scalar
integer. n specifies the number of rows in
R.
Multivariate random numbers, returned as an
m-by-d numeric matrix, where
m is the value of n (or 1, if you do not
specify n), and d is the dimension of
C.
The function generates each row of R as a vector that has a
multivariate t distribution with mean 0, variance 1, and covariance
matrix C, divided by an independent chi-square random value having
nu degrees of freedom. The rows of R are
independent.
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