Generate a random normal vector of intelligence quotients (IQs).
iq(n, mean = 100, sd = 10, min = 0, max = NULL, digits = 0, name = "IQ")
The number elements to generate. This can be globally set within
the environment of r_data_frame
or r_list
.
The mean value for the normal distribution to be drawn from.
The standard deviation of the normal distribution to draw from.
A numeric lower boundary cutoff. Results less than this value will be
replaced with min
.
A numeric upper boundary cutoff. Results greater than this value will
be replaced with max
.
Integer indicating the number of decimal places to be used.
Negative values are allowed (see round
).
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 normal vector of IQ elements.
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()
,
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()
# NOT RUN {
iq(10)
hist(iq(10000))
interval(iq, 5, n = 1000)
# }
Run the code above in your browser using DataLab