Generate a random vector of genders.
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")
The number elements to generate. This can be globally set within
the environment of r_data_frame or r_list.
A vector of length 2 to sample from.
A vector of probabilities to chose from.
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.
Returns a random factor vector of gender elements.
The genders and probabilities used match approximate gender make-up:
| Gender | Percent |
| Male | 51.22 % |
| Female | 48.78 % |
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
# NOT RUN {
sex(10)
100*table(sex(n <- 10000))/n
# }
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