R Dataset / Package COUNT / rwm
On this Rdata statistics page, you will find information about the rwm data set which pertains to rwm. The rwm data set is found in the COUNT R package. You can load the rwm data set in R by issuing the following command at the console data("rwm"). This will load the data into a variable called rwm. If R says the rwm data set is not found, you can try installing the package by issuing this command install.packages("COUNT") 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 rwm R data set. The size of this file is about 557,780 bytes.
rwm
Description
German health registry for the years 19841988. Health information for years prior to health reform.
Usage
data(rwm)
Format
A data frame with 27,326 observations on the following 4 variables.
docvis

number of visits to doctor during year (0121)
age

age: 2564
educ

years of formal education (718)
hhninc

household yearly income in DM/1000)
Details
rwm is saved as a data frame. Count models typically use docvis as response variable. 0 counts are included
Source
German Health Reform Registry, years prereform 19841988, From Hilbe and Greene (2008)
References
Hilbe, Joseph M (2011), Negative Binomial Regression, Cambridge University Press Hilbe, J.M. and W.H. Greene (2008), "Count Response Regression Models", in Rao, CR, JP Miller and DC Rao (eds), Handbook of Statistics 27: Epidemiology and Medical Statistics, Amsterdam: Elsevier. pp. 210252.
Examples
data(rwm) glmrwp < glm(docvis ~ age + educ + hhninc, family=poisson, data=rwm) summary(glmrwp) exp(coef(glmrwp)) library(MASS) glmrwnb < glm.nb(docvis ~ age + educ + hhninc, data=rwm) summary(glmrwnb) exp(coef(glmrwnb))
Dataset imported from https://www.rproject.org.