race: Generate Random Vector of Races

Description Usage Arguments Details Value See Also Examples

Description

Generate a random vector of races.

Usage

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race(
  n,
  x = c("White", "Hispanic", "Black", "Asian", "Bi-Racial", "Native", "Other",
    "Hawaiian"),
  prob = c(0.637, 0.163, 0.122, 0.047, 0.019, 0.007, 0.002, 0.0015),
  name = "Race"
)

Arguments

n

The number elements to generate. This can be globally set within the environment of r_data_frame or r_list.

x

A vector of elements to chose from.

prob

A vector of probabilities to chose from.

name

The name to assign to the output vector's varname attribute. This is used to auto assign names to the column/vector name when used inside of r_data_frame or r_list.

Details

The races and probabilities used match approximate U.S. racial make-up. The default make up is:

Race Percent
White 63.70 %
Hispanic 16.30 %
Black 12.20 %
Asian 4.70 %
Bi-Racial 1.90 %
Native .70 %
Other .20 %
Hawaiian .15 %

Value

Returns a random factor vector of elements.

See Also

Other variable functions: age(), animal(), answer(), area(), car(), children(), coin(), color, date_stamp(), death(), dice(), dna(), dob(), dummy(), education(), employment(), eye(), grade_level(), grade(), group(), hair(), height(), income(), internet_browser(), iq(), language, level(), likert(), lorem_ipsum(), marital(), military(), month(), name, normal(), political(), religion(), sat(), sentence(), sex_inclusive(), sex(), smokes(), speed(), state(), string(), upper(), valid(), year(), zip_code()

Examples

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race(10)
100*table(race(n <- 10000))/n

trinker/wakefield documentation built on Sept. 17, 2020, 11:03 p.m.