political: Generate Random Vector of Political Parties

In trinker/wakefield: Generate Random Data Sets

Description

Generate a random vector of political parties.

Usage

political(
  n,
  x = c("Democrat", "Republican", "Constitution", "Libertarian", "Green"),
  prob = c(0.577269133302094, 0.410800432748879, 0.00491084954793489,
    0.00372590303330866, 0.0032936813677832),
  name = "Political"
)

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 political parties and probabilities used match approximate U.S. political make-up of registered voters (2014). The default make up is:

Party	N	Percent
Democrat	43,140,758	57.73%
Republican	30,700,138	41.08%
Constitution	367,000	.49%
Libertarian	278,446	.37%
Green	246,145	.33%

Value

Returns a random factor vector of political party 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(), race(), religion(), sat(), sentence(), sex_inclusive(), sex(), smokes(), speed(), state(), string(), upper(), valid(), year(), zip_code()

Examples

political(10)
barplot(table(political(10000)))

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