relig.and.ed: Religiosity and Education

In wPerm: Permutation Tests

Description

Flat contingency table for religiosity and educational attainment for a sample of 509 people worldwide.

Usage

data("relig.and.ed")

Format

A data frame with 12 observations on the following 3 variables.

RELIGIOUSITY

a factor with levels Religious Not religious Atheist Do not know

EDUCATION

a factor with levels Basic Secondary Advanced

COUNT

a numeric vector

Details

A worldwide poll on religion was conducted by WIN-Gallup International and published as the document Global Index of Religiosity and Atheism. One question involved religious belief and educational attainment. The data in the relig.and.ed dataset are based on the answers to that question.

Examples

data(relig.and.ed)
str(relig.and.ed)
relig.and.ed

Example output

'data.frame':	12 obs. of  3 variables:
 $ RELIGIOUSITY: Factor w/ 4 levels "Religious","Not religious",..: 1 2 3 4 1 2 3 4 1 2 ...
 $ EDUCATION   : Factor w/ 3 levels "Basic","Secondary",..: 1 1 1 1 2 2 2 2 3 3 ...
 $ COUNT       : int  77 23 8 6 149 56 24 15 78 36 ...
    RELIGIOUSITY EDUCATION COUNT
1      Religious     Basic    77
2  Not religious     Basic    23
3        Atheist     Basic     8
4     Don't know     Basic     6
5      Religious Secondary   149
6  Not religious Secondary    56
7        Atheist Secondary    24
8     Don't know Secondary    15
9      Religious  Advanced    78
10 Not religious  Advanced    36
11       Atheist  Advanced    29
12    Don't know  Advanced     8

wPerm documentation built on May 2, 2019, 3:02 a.m.