Draw a random sample from a GEV distribution

Usage

# S3 method for GEV
random(x, n = 1L, drop = TRUE, ...)

Arguments

x: A GEV object created by a call to GEV().
n: The number of samples to draw. Defaults to 1L.
drop: logical. Should the result be simplified to a vector if possible?
...: Unused. Unevaluated arguments will generate a warning to catch mispellings or other possible errors.

Value

In case of a single distribution object or n = 1, either a numeric vector of length n (if drop = TRUE, default) or a matrix with n columns (if drop = FALSE).

Examples


set.seed(27)

X <- GEV(1, 2, 0.1)
X
#> [1] "GEV distribution (mu = 1, sigma = 2, xi = 0.1)"

random(X, 10)
#>  [1]  9.53039102 -0.73633998  5.43730770  0.79059280  0.20038342  1.18468635
#>  [7] -0.83938790 -2.28404509 -0.32725032  0.02226797

pdf(X, 0.7)
#> [1] 0.1845098
log_pdf(X, 0.7)
#> [1] -1.690052

cdf(X, 0.7)
#> [1] 0.3124986
quantile(X, 0.7)
#> [1] 3.171891

cdf(X, quantile(X, 0.7))
#> [1] 0.7
quantile(X, cdf(X, 0.7))
#> [1] 0.7