Draw a random sample from an RevWeibull distribution

Usage

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

Arguments

x: A RevWeibull object created by a call to RevWeibull().
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 <- RevWeibull(1, 2)
X
#> [1] "RevWeibull distribution (location = 1, scale = 2, shape = 1)"

random(X, 10)
#>  [1]   0.9426871  -3.9596589   0.7303525  -1.2219891  -2.0076752  -0.8243573
#>  [7]  -4.2483783 -11.0231439  -2.9741769  -2.3014673

pdf(X, 0.7)
#> [1] 0.430354
log_pdf(X, 0.7)
#> [1] -0.8431472

cdf(X, 0.7)
#> [1] 0.860708
quantile(X, 0.7)
#> [1] 0.2866501

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