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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