R Dataset / Package MASS / Insurance
On this Rdata statistics page, you will find information about the Insurance data set which pertains to Numbers of Car Insurance claims. The Insurance data set is found in the MASS R package. You can load the Insurance data set in R by issuing the following command at the console data("Insurance"). This will load the data into a variable called Insurance. If R says the Insurance data set is not found, you can try installing the package by issuing this command install.packages("MASS") and then attempt to reload the data with the library() command. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the Insurance R data set. The size of this file is about 1,643 bytes.
Numbers of Car Insurance claims
Description
The data given in data frame Insurance
consist of the numbers of policyholders of an insurance company who were exposed to risk, and the numbers of car insurance claims made by those policyholders in the third quarter of 1973.
Usage
Insurance
Format
This data frame contains the following columns:
District

factor: district of residence of policyholder (1 to 4): 4 is major cities.
Group

an ordered factor: group of car with levels <1 litre, 1–1.5 litre, 1.5–2 litre, >2 litre.
Age

an ordered factor: the age of the insured in 4 groups labelled <25, 25–29, 30–35, >35.
Holders

numbers of policyholders.
Claims

numbers of claims
Source
L. A. Baxter, S. M. Coutts and G. A. F. Ross (1980) Applications of linear models in motor insurance. Proceedings of the 21st International Congress of Actuaries, Zurich pp. 11–29.
M. Aitkin, D. Anderson, B. Francis and J. Hinde (1989) Statistical Modelling in GLIM. Oxford University Press.
References
Venables, W. N. and Ripley, B. D. (1999) Modern Applied Statistics with SPLUS. Third Edition. Springer.
Examples
## maineffects fit as Poisson GLM with offset glm(Claims ~ District + Group + Age + offset(log(Holders)), data = Insurance, family = poisson)# same via loglm loglm(Claims ~ District + Group + Age + offset(log(Holders)), data = Insurance)
Dataset imported from https://www.rproject.org.