sex: Generate Random Vector of Genders

In wakefield: Generate Random Data Sets

Description

Generate a random vector of genders.

Usage

sex(
  n,
  x = c("Male", "Female"),
  prob = c(0.51219512195122, 0.48780487804878),
  name = "Sex"
)

gender(
  n,
  x = c("Male", "Female"),
  prob = c(0.51219512195122, 0.48780487804878),
  name = "Gender"
)

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 length 2 to sample 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 genders and probabilities used match approximate gender make-up:

Gender	Percent
Male	51.22 %
Female	48.78 %

Value

Returns a random factor vector of gender 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(), political(), race(), religion(), sat(), sentence(), sex_inclusive(), smokes(), speed(), state(), string(), upper(), valid(), year(), zip_code()

Examples

sex(10)
100*table(sex(n <- 10000))/n

Example output

 [1] Male   Female Male   Female Female Female Male   Female Male   Female
Levels: Male Female

  Male Female 
 51.61  48.39 

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