wakefield (version 0.3.0)

sex: Generate Random Vector of Genders

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.

Value

Returns a random factor vector of gender elements.

Details

The genders and probabilities used match approximate gender make-up:

Gender	Percent
Male	51.22 %
Female	48.78 %

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

# NOT RUN {
sex(10)
100*table(sex(n <- 10000))/n
# }