| urlogarithmic | R Documentation |
UNU.RAN random variate generator for the Logarithmic distribution with
shape parameter shape.
It also allows sampling from the truncated distribution.
[Special Generator] – Sampling Function: Logarithmic.
urlogarithmic(n, shape, lb = 1, ub = Inf)
n |
size of required sample. |
shape |
shape parameter. Must be between 0 and 1. |
lb |
lower bound of (truncated) distribution. |
ub |
upper bound of (truncated) distribution. |
The Logarithmic distribution with parameters shape =
\theta has density
f(x) = -\log(1-\theta) \theta^x / x
for x = 1, 2, \ldots and 0 < \theta < 1.
The generation algorithm uses guide table based inversion when the
tails are not too heavy and method ‘DARI’ otherwise.
The parameters lb and ub can be used to generate
variates from the Logarithmic 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 A.W. Kemp (1992): Univariate Discrete Distributions, 2nd edition. John Wiley & Sons, Inc., New York. Chap.7, p.285.
runif and .Random.seed about random number
generation and unuran for the UNU.RAN class.
## Create a sample of size 1000
x <- urlogarithmic(n=1000,shape=0.3)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.