Generate a random vector of political parties.
political(
n,
x = c("Democrat", "Republican", "Constitution", "Libertarian", "Green"),
prob = c(0.577269133302094, 0.410800432748879, 0.00491084954793489,
0.00372590303330866, 0.0032936813677832),
name = "Political"
)
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 political party elements.
The political parties and probabilities used match approximate U.S. political make-up of registered voters (2014). The default make up is:
Party | N | Percent |
Democrat | 43,140,758 | 57.73% |
Republican | 30,700,138 | 41.08% |
Constitution | 367,000 | .49% |
Libertarian | 278,446 | .37% |
Green | 246,145 | .33% |
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()
,
race()
,
religion()
,
sat()
,
sentence()
,
sex_inclusive()
,
sex()
,
smokes()
,
speed()
,
state()
,
string()
,
upper()
,
valid()
,
year()
,
zip_code()
# NOT RUN {
political(10)
barplot(table(political(10000)))
# }
Run the code above in your browser using DataLab