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babies

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

hoa

Higher Order Likelihood Inference

v2.1.4.1
GPL (>= 2) | file LICENCE
Authors
R port by Alessandra R. Brazzale <alessandra.brazzale@unipd.it>, following earlier work by Douglas Bates. The function tem is based on work by Anthony Davison <Anthony.Davison@epfl.ch>
Initial release
2015-08-11

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