Draw a random sample from a Gamma distribution

Usage

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

Arguments

x: A Gamma object created by a call to Gamma().
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 <- Gamma(5, 2)
X
#> [1] "Gamma(shape = 5, rate = 2)"

random(X, 10)
#>  [1] 4.727510 3.628168 1.512156 4.771854 2.257310 3.645070 5.083710 2.509344
#>  [9] 1.093361 2.021506

pdf(X, 2)
#> [1] 0.3907336
log_pdf(X, 2)
#> [1] -0.9397292

cdf(X, 4)
#> [1] 0.9003676
quantile(X, 0.7)
#> [1] 2.945181

cdf(X, quantile(X, 0.7))
#> [1] 0.7
quantile(X, cdf(X, 7))
#> [1] 7