R330 (version 1.0)

housing.df: Housing conditions satisfaction

Description

A data set investingating the satisfaction with housing conditions in Copenhagen

Usage

data(housing.df)

Format

A data frame with 18 observations on the following 4 variables:

sat

Satisfaction of householders with their present housing circumstances, (High, Medium or Low, ordered factor).

infl

Perceived degree of influence householders have on the management of the property (High, Medium, Low).

cont

Contact residents are afforded with other residents, (Low, High).

count

number in each category

Source

Madsen, M. (1976). Statistical analysis of multiple contingency tables. Two examples. Scand J. Statist., 3,97-106

References

Cox, D. R. & Snell, E. J. (1981). Applied Statistics: Principles and Examples. Chapman and Hall, London.

Examples

data(housing.df)
housing.glm<-glm(count~sat*infl*cont, family=poisson, data=housing.df)
anova(housing.glm, test="Chisq")