On this Picostat.com statistics page, you will find information about the rwm1984 data set which pertains to rwm1984. The rwm1984 data set is found in the COUNT R package. You can load the rwm1984 data set in R by issuing the following command at the console data("rwm1984"). This will load the data into a variable called rwm1984. If R says the rwm1984 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. 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 rwm1984 R data set. The size of this file is about 164,149 bytes.
German health registry for the year 1984.
A data frame with 3,874 observations on the following 17 variables.
number of visits to doctor during year (0-121)
number of days in hospital during year (0-51)
educational level (categorical: 1-4)
out of work=1; 0=working
married=1; 0=not married
have children=1; no children=0
household yearly income in marks (in Marks)
years of formal education (7-18)
self-employed=1; not self employed=0
(1/0) not high school graduate
(1/0) high school graduate
(1/0) graduate school
rwm1984 is saved as a data frame.
Count models typically use docvis as response variable. 0 counts are included
German Health Reform Registry, year=1984, in Hilbe and Greene (2007)
Hilbe, Joseph, M (2014), Modeling Count Data, Cambridge University Press
Hilbe, Joseph M (2011), Negative Binomial Regression, Cambridge University Press
Hilbe, J. and W. Greene (2008). Count Response Regression Models, in ed.
C.R. Rao, J.P Miller, and D.C. Rao, Epidemiology and Medical Statistics,
Elsevier Handbook of Statistics Series. London, UK: Elsevier.
data(rwm1984)glmrp <- glm(docvis ~ outwork + female + age + factor(edlevel), family=poisson, data=rwm1984)
exp(coef(glmrp))summary(nb2 <- nbinomial(docvis ~ outwork + female + age + factor(edlevel), data=rwm1984))
exp(coef(nb2))summary(glmrnb <- glm.nb(docvis ~ outwork + female + age + factor(edlevel), data=rwm1984))
Dataset imported from https://www.r-project.org.