Draw a random sample from a continuous Uniform distribution

Usage

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

Arguments

x: A Uniform object created by a call to Uniform().
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

Values in [a, b]. 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 <- Uniform(1, 2)
X
#> [1] "Uniform(a = 1, b = 2)"

random(X, 10)
#>  [1] 1.971750 1.083758 1.873870 1.329231 1.222276 1.401648 1.072499 1.002450
#>  [9] 1.137094 1.191909

pdf(X, 0.7)
#> [1] 0
log_pdf(X, 0.7)
#> [1] -Inf

cdf(X, 0.7)
#> [1] 0
quantile(X, 0.7)
#> [1] 1.7

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