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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