housing.df: Housing conditions satisfaction
In R330: An R package for Stats 330

A data set investingating the satisfaction with housing conditions in Copenhagen

1	data(housing.df)

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

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

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

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

R330 documentation built on May 2, 2019, 2:12 p.m.

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