employment: Generate Random Vector of Employment Statuses

In trinker/wakefield: Generate Random Data Sets

Description

Generate a random vector of employment statuses.

Usage

employment(
  n,
  x = c("Full Time", "Part Time", "Unemployed", "Retired", "Student"),
  prob = c(0.6, 0.1, 0.1, 0.1, 0.1),
  name = "Employment"
)

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.

Details

The following arbitrary probabilities are used:

Employment Status	Percent
Full Time	60%
Part Time	10%
Unemployed	10%
Retired	10%
Student	10%

Value

Returns a random vector of employment status elements.

See Also

Other variable functions: age(), animal(), answer(), area(), car(), children(), coin(), color, date_stamp(), death(), dice(), dna(), dob(), dummy(), education(), 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()

Examples

employment(10)
pie(table(employment(10000)))
barplot(table(employment(10000)))

trinker/wakefield documentation built on Sept. 17, 2020, 11:03 p.m.