cdfgum {lmom} | R Documentation |
Gumbel (extreme-value type I) distribution
Description
Distribution function and quantile function of the Gumbel distribution.
Usage
cdfgum(x, para = c(0, 1))
quagum(f, para = c(0, 1))
Arguments
x |
Vector of quantiles. |
f |
Vector of probabilities. |
para |
Numeric vector containing the parameters of the distribution,
in the order |
Details
The Gumbel distribution with
location parameter \xi
and
scale parameter \alpha
has distribution function
F(x)=\exp[-\exp\lbrace-(x-\xi)/\alpha\rbrace]
and quantile function
x(F)=\xi-\alpha\log(-\log F).
Value
cdfgum
gives the distribution function;
quagum
gives the quantile function.
Note
The functions expect the distribution parameters in a vector,
rather than as separate arguments as in the standard R
distribution functions pnorm
, qnorm
, etc.
See Also
cdfgev
for the generalized extreme-value distribution,
which generalizes the Gumbel distribution.
Examples
# Random sample from the Gumbel distribution with parameters xi=0, alpha=3.
quagum(runif(100), c(0,3))