R Dataset / Package COUNT / rwm1984
Attachment | Size |
---|---|
dataset-41784.csv | 160.3 KB |
Documentation |
---|
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. Try to load the rwm1984 data set in R by issuing the following command at the console data("rwm1984"). This may 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 with library("COUNT") followed by data("rwm1984"). Perhaps strangley, if R gives you no output after entering a command, it means the command succeeded. If it succeeded you can see the data by typing rwm1984 at the command-line which should display the entire dataset. 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. rwm1984DescriptionGerman health registry for the year 1984. Usagedata(rwm1984) FormatA data frame with 3,874 observations on the following 17 variables.
Detailsrwm1984 is saved as a data frame. Count models typically use docvis as response variable. 0 counts are included SourceGerman Health Reform Registry, year=1984, in Hilbe and Greene (2007) ReferencesHilbe, 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. Exampleslibrary(MASS) library(msme) data(rwm1984)glmrp <- glm(docvis ~ outwork + female + age + factor(edlevel), family=poisson, data=rwm1984) summary(glmrp) 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)) exp(coef(glmrnb)) -- Dataset imported from https://www.r-project.org. |
Picostat Manual |
---|
How To Register With a Username
How To Register With Google Single Sign On (SSO)
How To Login With a Username and Password
How To Login With Google Single Sign On (SSO)
How To Import a Dataset
How To Perform Statistical Analysis with Picostat
How To Use Educational Applications with Picostat
|
Recent Queries For This Dataset |
---|
No queries made on this dataset yet. |
Title | Authored on | Content type |
---|---|---|
R Dataset / Package Ecdat / RetSchool | March 9, 2018 - 1:06 PM | Dataset |
R Dataset / Package HistData / HalleyLifeTable | March 9, 2018 - 1:06 PM | Dataset |
wage1 | August 29, 2020 - 9:33 AM | Dataset |
R Dataset / Package boot / cd4 | March 9, 2018 - 1:06 PM | Dataset |
R Dataset / Package psych / blot | March 9, 2018 - 1:06 PM | Dataset |