edrelig: edrelig

In LOGIT: Functions, Data and Code for Binary and Binomial Data

Description

A study of 601 subjects aimed at determing predictors for religiousity. Subjects self-identify as being religious or not. Predictors include gender, age, having children, and education level.

Usage

data(edrelig)

Format

A data frame with 601 observations of grouped data with 5 variables.

male

0=female; 1=male

age

ages from 17.5 to 57

kids

0=not have children;1=has children

educlevel

1=AA degree; 2=BA; 3=MA/PhD

religious

0=no; 1=yes

Details

edrelig is saved as a data frame.

Source

Hilbe, Practical Guide to Logistic Regression, Chapman & Hall/CRC.

References

Hilbe, Joseph M (2015), Practical Guide to Logistic Regression, Chapman & Hall/CRC.

Examples

library(LOGIT)
data(edrelig)
head(edrelig)
edrelig$cage <- edrelig$age - mean(edrelig$age)
isrelig<- glm(religious ~  male + cage + kids + factor(educlevel), family=binomial, data=edrelig)
summary(isrelig)
toOR(isrelig)

LOGIT documentation built on May 29, 2017, 10:26 a.m.