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wakefield (version 0.3.6)

employment: Generate Random Vector of Employment Statuses

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.

Value

Returns a random vector of employment status elements.

Details

The following arbitrary probabilities are used:

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

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

Run this code
# NOT RUN {
employment(10)
pie(table(employment(10000)))
barplot(table(employment(10000)))
# }

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