rando (version 0.2.0)

r_unif: Generate Uniformly Distributed Values

Description

Generates a set of Uniformly distributed values.

Usage

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

# NOT RUN {
set_n(5)

r_unif()

r_unif(1:5, 6:10)

r_unif(1:5, 10)

r_unif(n = 10)
# }