Re: Random number function for normal distribution?

[Doug Stewart]

jian Xu wrote:
> In MATLAB, I can use normrnd( mu, sigma, m, n) to generate a m by n
> matrix with random number from the Normal(mu, sigma) distribution.
> What is the corresponding function in Octave?
>
> More importantly, what is the best resource for me to look for answers
> of this kind of question?  Thank you very much.
>
> Jian
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>
>   


This should be what you want.

_Function File:_ *normal_cdf* /(x, m, v)/
   For each element of x, compute the cumulative distribution function
   (CDF) at x of the normal distribution with mean m and variance v.

   Default values are m = 0, v = 1.

@anchor{doc-normal_inv}

_Function File:_ *normal_inv* /(x, m, v)/
   For each element of x, compute the quantile (the inverse of the CDF)
   at x of the normal distribution with mean m and variance v.

   Default values are m = 0, v = 1.

@anchor{doc-normal_pdf}

_Function File:_ *normal_pdf* /(x, m, v)/
   For each element of x, compute the probability density function
   (PDF) at x of the normal distribution with mean m and variance v.

   Default values are m = 0, v = 1.

@anchor{doc-normal_rnd}

_Function File:_ *normal_rnd* /(m, v, r, c)/
   Return an r by c matrix of random samples from the normal
   distribution with parameters m and v. Both m and v must be scalar or
   of size r by c.

   If r and c are omitted, the size of the result matrix is the common
   size of m and v.