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