urchisq {Runuran} | R Documentation |
UNU.RAN Chi-Squared random variate generator
Description
UNU.RAN random variate generator for the Chi-Squared
(\chi^2
) distribution with df
degrees of freedom.
It also allows sampling from the truncated distribution.
[Special Generator] – Sampling Function: Chi-squared.
Usage
urchisq(n, df, lb=0, ub=Inf)
Arguments
n |
size of required sample. |
df |
degrees of freedom (strictly positive, but can be non-integer). |
lb |
lower bound of (truncated) distribution. |
ub |
upper bound of (truncated) distribution. |
Details
The Chi-squared distribution with df
= n > 0
degrees of
freedom has density
f_n(x) = \frac{1}{{2}^{n/2} \Gamma (n/2)} {x}^{n/2-1} {e}^{-x/2}
for x > 0
.
The generation algorithm uses fast numerical inversion. The parameters
lb
and ub
can be used to generate variates from
the Chi-squared distribution truncated to the interval (lb
,ub
).
Note
This function is wrapper for the UNU.RAN class in R.
Compared to rchisq
, urchisq
is faster, especially for
larger sample sizes.
However, in opposition to rchisq
vector arguments are ignored,
i.e. only the first entry is used.
Author(s)
Josef Leydold and Wolfgang H\"ormann unuran@statmath.wu.ac.at.
References
W. H\"ormann, J. Leydold, and G. Derflinger (2004): Automatic Nonuniform Random Variate Generation. Springer-Verlag, Berlin Heidelberg
See Also
runif
and .Random.seed
about random number
generation, unuran
for the UNU.RAN class, and
rchisq
for the R built-in generator.
Examples
## Create a sample of size 1000
x <- urchisq(n=1000,df=3)