law0027.Frechet {PoweR} | R Documentation |
Random generation for the Frechet distribution with parameters mu
, sigma
and alpha
.
This generator is called by function gensample
to create random variables based on its parameters.
If mu
, sigma
and alpha
are not specified they assume the default values of 0, 1 and 1, respectively.
The Frechet distribution with parameters mu =
μ, sigma =
σ and alpha =
α has density:
f(x) = α/σ ((x - μ)/σ)_{+}^{-α - 1} e^-[((x - μ)/σ)^(-α)]
P. Lafaye de Micheaux, V. A. Tran
Pierre Lafaye de Micheaux, Viet Anh Tran (2016). PoweR: A Reproducible Research Tool to Ease Monte Carlo Power Simulation Studies for Studies for Goodness-of-fit Tests in R. Journal of Statistical Software, 69(3), 1–42. doi:10.18637/jss.v069.i03
See Distributions
for other standard distributions.
res <- gensample(27,10000,law.pars=c(8,6,2)) res$law res$law.pars mean(res$sample) sd(res$sample)