political: Generate Random Vector of Political Parties

Description Usage Arguments Details Value See Also Examples

Description

Generate a random vector of political parties.

Usage

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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

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Example output

 [1] Republican Republican Democrat   Republican Republican Democrat  
 [7] Republican Republican Democrat   Democrat  
Levels: Democrat Republican Constitution Libertarian Green

wakefield documentation built on Sept. 14, 2020, 1:07 a.m.