hair: Generate Random Vector of Hair Colors
In wakefield: Generate Random Data Sets

Description Usage Arguments Details Value See Also Examples

Generate a random vector of hair colors.

hair(
  n,
  x = c("Brown", "Black", "Blonde", "Red"),
  prob = c(0.35, 0.28, 0.26, 0.11),
  name = "Hair"
)

`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`.

The hair colors and probabilities:

Color	Percent
Brown	35 %
Black	28 %
Blonde	26 %
Red	11 %

Returns a random vector of hair color elements.

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(), 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()

hair(10)
v <- table(hair(10000))
lbs <- paste0(names(v), "\n", round(100*v/sum(v), 1), "%")
pie(v, col = replace(names(v), 3, "yellow"), labels = lbs)