Generate Uniformly Distributed Values

Source: R/built_in_distributions.R

Generates a set of Uniformly distributed values.

r_unif(min = 0, max = 1, ..., n = default_n(min, max), .seed = NULL)

Arguments

min, max

vectors of lower and upper limits of the distribution
...

Unused
n

number of observations to generate. The default_n() function will provide a default value within context
.seed

One of the following:

  • NULL (default) will not change the current seed. This is the usual case for generating random numbers.

  • A numeric value. This will be used to set the seed before generating the random numbers. This seed will be stored with the results.

  • TRUE. A random seed value will be generated and set as the seed before the results are generated. Again, this will be stored with the results.

To extract the random seed from a previously generated set of values, use pull_seed()

Value

A numeric vector of length n

Examples


set_n(5)

r_unif()

#> [1] 0.48457769 0.60384572 0.21268102 0.08015722 0.17985428

r_unif(1:5, 6:10)

#> [1] 4.974798 4.646017 5.330622 8.460869 8.709769

r_unif(1:5, 10)

#> [1] 7.873622 8.752798 7.936522 9.690653 5.721459

r_unif(n = 10)

#>  [1] 0.8038033 0.2943441 0.3813734 0.2372413 0.3461421 0.4290002 0.5998603
#>  [8] 0.5655163 0.4661924 0.2334880