R Dataset / Package COUNT / badhealth
Attachment | Size |
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dataset-90943.csv | 7.78 KB |
Documentation |
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On this Picostat.com statistics page, you will find information about the badhealth data set which pertains to badhealth. The badhealth data set is found in the COUNT R package. Try to load the badhealth data set in R by issuing the following command at the console data("badhealth"). This may load the data into a variable called badhealth. If R says the badhealth 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("badhealth"). 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 badhealth 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 badhealth R data set. The size of this file is about 7,967 bytes. badhealthDescriptionFrom German health survey data for the year 1998 only. Usagedata(badhealth) FormatA data frame with 1,127 observations on the following 3 variables.
Detailsbadhealth is saved as a data frame. Count models use numvisit as the response variable, 0 counts are included. SourceGerman Health Survey, amended in Hilbe and Greene (2008). ReferencesHilbe, 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. Examplesdata(badhealth) glmbadp <- glm(numvisit ~ badh + age, family=poisson, data=badhealth) summary(glmbadp) exp(coef(glmbadp)) library(MASS) glmbadnb <- glm.nb(numvisit ~ badh + age, data=badhealth) summary(glmbadnb) exp(coef(glmbadnb)) -- Dataset imported from https://www.r-project.org. |
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R Output | Date |
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Picostat Output - Simple Linear Regression | Nov 27, 2018 |
Picostat Output - Simple Linear Regression | Nov 27, 2018 |
Picostat Output - Simple Linear Regression | Nov 27, 2018 |
Picostat Output - Simple Linear Regression | Nov 27, 2018 |
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