Crying Babies Data
The babies data frame has 36 rows and 4 columns.
Matched pairs of binary observations concerning the crying of babies. The babies were observed on 18 days and on each day one child was lulled. Interest focuses on the treatment effect “lulling”.
data(babies)
This data frame contains the following columns:
r1number of children not crying on one day;
r2number of children crying on one day;
lullindicator variable for the treatment;
dayfactor variable for the days.
The data were obtained from
Cox, D. R. (1970) Analysis of Binary Data (page 61). London: Chapman \& Hall.
Davison, A. C. (1988) Approximate conditional inference in generalized linear models. J. R. Statist. Soc. B, 50, 445–461.
data(babies)
coplot(r2/(r1+r2) ~ day | lull, data = babies)
##
babies.glm <- glm(formula = cbind(r1, r2) ~ day + lull - 1,
family = binomial, data = babies)
babies.cond <- cond(object = babies.glm, offset = lullyes)
babies.cond
##
## If one wishes to avoid the generalized linear model fit:
babies.cond <- cond.glm(formula = cbind(r1, r2) ~ day + lull - 1,
family = binomial, data = babies, offset = lullyes)
babies.condPlease choose more modern alternatives, such as Google Chrome or Mozilla Firefox.