Generate a random vector of races.
race(
n,
x = c("White", "Hispanic", "Black", "Asian", "Bi-Racial", "Native", "Other",
"Hawaiian"),
prob = c(0.637, 0.163, 0.122, 0.047, 0.019, 0.007, 0.002, 0.0015),
name = "Race"
)The number elements to generate. This can be globally set within
the environment of r_data_frame or r_list.
A vector of elements to chose 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 elements.
The races and probabilities used match approximate U.S. racial make-up. The default make up is:
| Race | Percent |
| White | 63.70 % |
| Hispanic | 16.30 % |
| Black | 12.20 % |
| Asian | 4.70 % |
| Bi-Racial | 1.90 % |
| Native | .70 % |
| Other | .20 % |
| Hawaiian | .15 % |
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(),
religion(),
sat(),
sentence(),
sex_inclusive(),
sex(),
smokes(),
speed(),
state(),
string(),
upper(),
valid(),
year(),
zip_code()
# NOT RUN {
race(10)
100*table(race(n <- 10000))/n
# }
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