caesareans: The Cesarean Cases
In ACSWR: A Companion Package for the Book "A Course in Statistics with R"
Description
Usage
Format
Source
Examples
Description
An increasing concern has been the number of cesarean deliveries, especially in the private hospitals. Here, we know the number of births, the type of hospital (private or Government hospital), and the number of cesareans. We would like to model the number of cesareans as a function of the number of births and the type of hospital. A Poisson regression model is fitted for this data set.
Usage
1
Format
A data frame with 20 observations on the following 3 variables.
Birthstotal number of births
Hospital_Typetype of hospital, private or government
Caesareansnumber of caesareans
Source
http://www.oxfordjournals.org/our_journals/tropej/online/ma_chap13.pdf
Examples
1
2
3
4
data(caesareans)
names(caesareans)
cae_pois <- glm(Caesareans~Hospital_Type+Births,data=caesareans,family='poisson')
summary(cae_pois)
ACSWR documentation built on May 2, 2019, 6:53 a.m.
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Description Usage Format Source Examples
Description
An increasing concern has been the number of cesarean deliveries, especially in the private hospitals. Here, we know the number of births, the type of hospital (private or Government hospital), and the number of cesareans. We would like to model the number of cesareans as a function of the number of births and the type of hospital. A Poisson regression model is fitted for this data set.
Usage
1 |
Format
A data frame with 20 observations on the following 3 variables.
Birthstotal number of births
Hospital_Typetype of hospital, private or government
Caesareansnumber of caesareans
Source
http://www.oxfordjournals.org/our_journals/tropej/online/ma_chap13.pdf
Examples
1 2 3 4 | data(caesareans)
names(caesareans)
cae_pois <- glm(Caesareans~Hospital_Type+Births,data=caesareans,family='poisson')
summary(cae_pois)
|
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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