color {wakefield} | R Documentation |
Generate Random Vector of Colors
Description
color
- Generate a random vector of colors (sampled from colors()
).
color
- Generate a random vector of psycological primary
colors (sampled from colors()
).
Usage
color(n, k = 10, x = grDevices::colors(), prob = NULL, name = "Color")
primary(
n,
x = c("Red", "Green", "Blue", "Yellow", "Black", "White"),
prob = NULL,
name = "Color"
)
Arguments
n |
The number elements to generate. This can be globally set within
the environment of |
k |
The number of the elements of x to sample from (uses |
x |
A vector of elements to chose from. |
prob |
A vector of probabilities to chose from. |
name |
The name to assign to the output vector's |
Value
Returns a random factor vector of color elements.
See Also
Other variable functions:
age()
,
animal()
,
answer()
,
area()
,
car()
,
children()
,
coin()
,
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()
,
sex()
,
smokes()
,
speed()
,
state()
,
string()
,
upper()
,
valid()
,
year()
,
zip_code()
Examples
color(10)
pie(tab <- table(color(10000)), col = names(tab))
primary(10)
pie(tab <- table(primary(10000)), col = names(tab))
barplot(tab <- table(primary(10000, prob = probs(6))), col = names(tab))