Draw a random sample from an Exponential distribution

Usage

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

Arguments

x: An Exponential object created by a call to Exponential().
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 <- Exponential(5)
X
#> [1] "Exponential distribution (rate = 5)"

mean(X)
#> [1] 0.2
variance(X)
#> [1] 25
skewness(X)
#> [1] 2
kurtosis(X)
#> [1] 6

random(X, 10)
#>  [1] 0.01161126 0.28730930 1.15993941 0.29660927 0.38431337 0.04643808
#>  [7] 0.06969554 0.10900366 0.50608948 0.03759968

pdf(X, 2)
#> [1] 0.0002269996
log_pdf(X, 2)
#> [1] -8.390562

cdf(X, 4)
#> [1] 1
quantile(X, 0.7)
#> [1] 0.2407946

cdf(X, quantile(X, 0.7))
#> [1] 0.7
quantile(X, cdf(X, 7))
#> [1] 6.989008