| urrayleigh | R Documentation |
UNU.RAN random variate generator for the Rayleigh distribution with
scale parameter scale.
It also allows sampling from the truncated distribution.
[Special Generator] – Sampling Function: Rayleigh.
urrayleigh(n, scale=1, lb = 0, ub = Inf)
n |
size of required sample. |
scale |
(strictly positive) scale parameter. |
lb |
lower bound of (truncated) distribution. |
ub |
upper bound of (truncated) distribution. |
If scale is omitted, it assumes the default value of 1.
The Rayleigh distribution with scale parameter scale
=\sigma has density
f(x) = \frac{1}{sigma^2} x \exp( -\frac{1}{2}(\frac{x}{sigma})^2 )
for x \ge 0 and \sigma > 0.
The generation algorithm uses fast numerical inversion. The parameters
lb and ub can be used to generate variates from
the Rayleigh distribution truncated to the interval (lb,ub).
This function is a wrapper for the UNU.RAN class in R.
Josef Leydold and Wolfgang H\"ormann unuran@statmath.wu.ac.at.
W. H\"ormann, J. Leydold, and G. Derflinger (2004): Automatic Nonuniform Random Variate Generation. Springer-Verlag, Berlin Heidelberg
N.L. Johnson, S. Kotz, and N. Balakrishnan (1994): Continuous Univariate Distributions, Volume 1. 2nd edition, John Wiley & Sons, Inc., New York. Chap.18, p.456.
runif and .Random.seed about random number
generation and unuran for the UNU.RAN class.
## Create a sample of size 1000 from Rayleigh distribution with scale=1
x <- urrayleigh(n=1000,scale=1)
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