Skip to contents

Draw a random sample from a Beta distribution

Usage

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

Arguments

x

A Beta object created by a call to Beta().

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 distribution (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