Create a Beta distribution

Create a Beta distribution

Usage

Beta(alpha = 1, beta = 1)

Arguments

alpha

The alpha parameter. alpha can be any value strictly greater than zero. Defaults to 1.

beta

The beta parameter. beta can be any value strictly greater than zero. Defaults to 1.

Value

A beta object.

See also

Other continuous distributions: Cauchy(), ChiSquare(), Erlang(), Exponential(), FisherF(), Frechet(), GEV(), GP(), Gamma(), Gumbel(), LogNormal(), Logistic(), Normal(), RevWeibull(), StudentsT(), Tukey(), Uniform(), Weibull()

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