GUMBEL | R Documentation |
Density, distribution function, quantile function and random generation for the Gumbel distribution (for maxima) with scale and location parameters equal to scale
and location
, respectively.
dgumbel(x,scale=1,location=0,log=FALSE) pgumbel(q,scale=1,location=0,lower.tail=TRUE,log.p=FALSE) qgumbel(p,scale=1,location=0,lower.tail=TRUE,log.p=FALSE) rgumbel(n,scale=1,location=0)
x,q |
vector of quantiles. |
p |
vector of probabilities. |
n |
number of observations. |
scale |
scale parameter. |
location |
location parameter. |
log,log.p |
logical; if TRUE, probabilities p are given as log(p). |
lower.tail |
logical; if TRUE (default), probabilities are P[X <= x],otherwise, P[X > x]. |
If X is a random variable distributed according to a Gumbel distribution, it has density
f(x) = 1/scale*exp(-(x-location)/scale-exp(-(x-location)/scale))
dgumbel
gives the density, pgumbel
gives the distribution function, qgumbel
gives the quantile function, and rgumbel
generates random deviates.
Coles, S. (2001) An introduction to statistical modeling of extreme values. Springer
x <- rgumbel(1000,3,100) hist(x,freq=FALSE,col='gray',border='white') curve(dgumbel(x,3,100),add=TRUE,col='red4',lwd=2)
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