Draw a random sample from an Exponential distribution
Usage
# S3 method for class 'Exponential'
random(x, n = 1L, drop = TRUE, ...)
Arguments
- x
An
Exponential
object created by a call toExponential()
.- 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(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