| 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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