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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