color: Generate Random Vector of Colors
In wakefield: Generate Random Data Sets

Description Usage Arguments Value See Also Examples

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

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

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"
)

`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`.

Returns a random factor vector of color elements.

Other variable functions: age(), animal(), answer(), area(), car(), children(), coin(), 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(), race(), religion(), sat(), sentence(), sex_inclusive(), sex(), smokes(), speed(), state(), string(), upper(), valid(), year(), zip_code()

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))

 [1] Snow2          Orange1        Lightskyblue   Grey20         Darkgoldenrod4
 [6] Orange3        Darkorchid     Deeppink4      Deeppink4      Orange1       
10 Levels: Deeppink4 Darkgoldenrod4 Orange1 Darkorchid Grey20 ... Grey94
 [1] Red    Yellow Black  White  Black  Blue   Black  Black  White  White 
Levels: Red Green Blue Yellow Black White