rando (version 0.2.0)

r_sample: Generate Random Sample

Description

Generates a Sample from a set, with replacement

Usage

r_sample(sample, weights = NULL, ..., n = default_n(), .seed = NULL)

Arguments

sample

a set of values to choose from

weights

a vector of weights, must be the same length as sample, between 0 & 1

...

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 vector of length n of the same type as sample

Examples

# NOT RUN {
set_n(15)

r_sample(c("blue", "red", "yellow"))

r_sample(c("blue", "red", "yellow"),
  weights = c(1, 5, 1)
)

r_sample(c("blue", "red", "yellow"), n = 10)
# }