Draw a random sample from a Beta distribution
Usage
# S3 method for class 'Beta'
random(x, n = 1L, drop = TRUE, ...)
Arguments
- x
A
Beta
object created by a call toBeta()
.- 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 [0, 1]
. 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 <- Beta(1, 2)
X
#> [1] "Beta(alpha = 1, beta = 2)"
random(X, 10)
#> [1] 0.014327255 0.067309943 0.636292291 0.864804440 0.758869543 0.237550867
#> [7] 0.330895959 0.065843704 0.008265406 0.254705779
pdf(X, 0.7)
#> [1] 0.6
log_pdf(X, 0.7)
#> [1] -0.5108256
cdf(X, 0.7)
#> [1] 0.91
quantile(X, 0.7)
#> [1] 0.4522774
mean(X)
#> [1] 0.3333333
variance(X)
#> [1] 0.05555556
skewness(X)
#> [1] 1.131371
kurtosis(X)
#> [1] -0.6
cdf(X, quantile(X, 0.7))
#> [1] 0.7
quantile(X, cdf(X, 0.7))
#> [1] 0.7