color: Generate Random Vector of Colors

In wakefield: Generate Random Data Sets

Generate Random Vector of Colors

Description

color - Generate a random vector of colors (sampled from colors()).

color - Generate a random vector of psycological primary colors (sampled from colors()).

Usage

color(n, k = 10, x = grDevices::colors(), prob = NULL, name = "Color")

primary(
  n,
  x = c("Red", "Green", "Blue", "Yellow", "Black", "White"),
  prob = NULL,
  name = "Color"
)

Arguments

n	The number elements to generate. This can be globally set within the environment of r_data_frame or r_list.
k	The number of the elements of x to sample from (uses sample(x, k)).
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 factor vector of color elements.

See Also

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

Examples

color(10)
pie(tab <- table(color(10000)), col = names(tab))

primary(10)
pie(tab <- table(primary(10000)), col = names(tab))
barplot(tab <- table(primary(10000, prob = probs(6))), col = names(tab))

wakefield documentation built on March 6, 2026, 1:07 a.m.