language: Generate Random Vector of Languages

In wakefield: Generate Random Data Sets

Description

Generate a random vector of languages from the presidential_debates_2012.

Usage

language(
  n,
  x = wakefield::languages[["Language"]],
  prob = wakefield::languages[["Proportion"]],
  name = "Language"
)

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.

Value

Returns a random character vector of language 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(), level(), likert(), lorem_ipsum(), marital(), military(), month(), name, normal(), political(), race(), religion(), sat(), sentence(), sex_inclusive(), sex(), smokes(), speed(), state(), string(), upper(), valid(), year(), zip_code()

Examples

language(10)
pie(table(language(10000)))

lang <- wakefield::languages[sample(1:99, 6), ]
lang["prop"] <- lang[["N"]]/sum(lang[["N"]])
labs <- round(100 * lang[["prop"]], 1)
pie(lang[["prop"]], paste0(lang[["Language"]], "\n", labs, "%"))

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