wakefield (version 0.3.3)

sex_inclusive: Generate Random Vector of Non-Binary Genders

Description

Generate a random vector of non-binary genders. Proportion of trans* category was taken from the Williams Institute Report (2011), and subtracted equally from the male and female categories.

Usage

sex_inclusive(n, x = c("Male", "Female", "Intersex"), prob = NULL,
  name = "Sex")
gender_inclusive(n, x = c("Male", "Female", "Trans*"), prob = NULL,
  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 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 factor vector of sex or gender elements.

Details

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

Gender	Percent
Male	51.07 %
Female	48.63 %
Trans*	0.30 %

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, smokes, speed, state, string, upper, valid, year, zip_code

Examples

# NOT RUN {
sex_inclusive(10)
barplot(table(sex_inclusive(10000)))

gender_inclusive(10)
barplot(table(gender_inclusive(10000)))
# }