R = normrnd(mu,sigma) generates random numbers from the normal distribution with mean parameter mu and standard deviation parameter sigma. mu and sigma can be vectors, matrices, or multidimensional arrays that have the same size, which is also the size of R. A scalar input for mu or sigma is expanded to a constant array with the same dimensions as the other input.

R = normrnd(mu,sigma,v) generates random numbers from the normal distribution with mean parameter mu and standard deviation parameter sigma, where v is a row vector. If v is a 1-by-2 vector, R is a matrix with v(1) rows and v(2) columns. If v is 1-by-n, R is an n-dimensional array.

R = normrnd(mu,sigma,m,n) generates random numbers from the normal distribution with mean parameter mu and standard deviation parameter sigma, where scalars m and n are the row and column dimensions of R.

Examples

n1 = normrnd(1:6,1./(1:6))
n1 =
  2.1650  2.3134  3.0250  4.0879  4.8607  6.2827

n2 = normrnd(0,1,[1 5])
n2 =
  0.0591  1.7971  0.2641  0.8717  -1.4462

n3 = normrnd([1 2 3;4 5 6],0.1,2,3)
n3 =
  0.9299  1.9361  2.9640
  4.1246  5.0577  5.9864

normrnd - Normal random numbers

Syntax

Description

Examples

See Also

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