Generate a random vector of religion.
religion(n, x = c("Christian", "Muslim", "None", "Hindu", "Buddhist", "Folk",
"Other", "Jewish"), prob = c(0.31477, 0.23163, 0.16323, 0.14985, 0.07083,
0.05882, 0.00859, 0.00227), name = "Religion")
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 religion elements.
The religion and probabilities used match approximate world religion make-up (from Pew Research Center). The default make up is:
Religion | N | Percent |
Christian | 2,173,260,000 | 31.48 % |
Muslim | 1,599,280,000 | 23.16 % |
None | 1,127,000,000 | 16.32 % |
Hindu | 1,034,620,000 | 14.99 % |
Buddhist | 489,030,000 | 7.08 % |
Folk | 406,140,000 | 5.88 % |
Other | 59,330,000 | .86 % |
Jewish | 15,670,000 | .23 % |
http://www.pewforum.org/2012/12/18/table-religious-composition-by-country-in-numbers
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
,
race
, sat
,
sentence
, sex_inclusive
,
sex
, smokes
,
speed
, state
,
string
, upper
,
valid
, year
,
zip_code
# NOT RUN {
religion(10)
barplot(table(religion(10000)))
pie(table(religion(10000)))
# }
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