babies package:cond R Documentation
Crying Babies Data
Description:
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".
Usage:
data(babies)
Format:
This data frame contains the following columns:
'r1' number of children not crying on one day;
'r2' number of children crying on one day;
'lull' indicator variable for the treatment;
'day' factor variable for the days.
Source:
The data were obtained from
Cox, D. R. (1970) _Analysis of Binary Data_ (page 61). London:
Chapman & Hall.
References:
Davison, A. C. (1988) Approximate conditional inference in
generalized linear models. _ J. R. Statist. Soc._ B, *50*,
445-461.
Examples:
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.cond