urlogis | R Documentation |
UNU.RAN random variate generator for the Logistic distribution with
parameters location
and scale
.
It also allows sampling from the truncated distribution.
[Special Generator] – Sampling Function: Logistic.
urlogis(n, location=0, scale=1, lb=-Inf, ub=Inf)
n |
size of required sample. |
location |
location parameter. |
scale |
(strictly positive) scale parameter. |
lb |
lower bound of (truncated) distribution. |
ub |
upper bound of (truncated) distribution. |
If location
or scale
are omitted, they assume the
default values of 0
and 1
respectively.
The Logistic distribution with location
= m and
scale
= s has distribution function
F(x) = 1 / (1 + exp(-(x-m)/s))
and density
f(x) = 1/s exp((x-m)/s) (1 + exp((x-m)/s))^-2
The generation algorithm uses inversion. The parameters
lb
and ub
can be used to generate variates from
the Logistic distribution truncated to the interval (lb
,ub
).
This function is a wrapper for the UNU.RAN class in R.
Compared to rlogis
, urlogis
is faster, especially for
larger sample sizes.
However, in opposition to rlogis
vector arguments are ignored,
i.e. only the first entry is used.
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
runif
and .Random.seed
about random number
generation, unuran
for the UNU.RAN class, and
rlogis
for the R built-in generator.
## Create a sample of size 1000 x <- urlogis(n=1000)
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