A distribution with constant density on an interval. The continuous analogue to the Categorical() distribution.

Uniform(a = 0, b = 1)

## Arguments

a The a parameter. a can be any value in the set of real numbers. Defaults to 0. The a parameter. b can be any value in the set of real numbers. It should be strictly bigger than a, but if is not, the order of the parameters is inverted. Defaults to 1.

## Value

A Uniform object.

Other continuous distributions: Beta, Cauchy, ChiSquare, Exponential, FisherF, Gamma, LogNormal, Logistic, Normal, StudentsT, Tukey, Weibull

## Examples


set.seed(27)

X <- Uniform(1, 2)
X#> Continuous Uniform distribution (a = 1, b = 2)
random(X, 10)#>  [1] 1.971750 1.083758 1.873870 1.329231 1.222276 1.401648 1.072499 1.002450
#>  [9] 1.137094 1.191909
pdf(X, 0.7)#> [1] 0log_pdf(X, 0.7)#> [1] -Inf
cdf(X, 0.7)#> [1] 0quantile(X, 0.7)#> [1] 1.7
cdf(X, quantile(X, 0.7))#> [1] 0.7quantile(X, cdf(X, 0.7))#> [1] 1