R Dataset / Package COUNT / titanicgrp
On this Picostat.com statistics page, you will find information about the titanicgrp data set which pertains to titanicgrp. The titanicgrp data set is found in the COUNT R package. Try to load the titanicgrp data set in R by issuing the following command at the console data("titanicgrp"). This may load the data into a variable called titanicgrp. If R says the titanicgrp 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("titanicgrp"). 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 titanicgrp 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 titanicgrp R data set. The size of this file is about 184 bytes.
The data is an grouped version of the 1912 Titanic passenger survival log,
A data frame with 12 observations on the following 5 variables.
titanicgrp is saved as a data frame. Used to assess risk ratios
Found in many other texts
Hilbe, Joseph M (2014), Modeling Count Data, Cambridge University Press Hilbe, Joseph M (2007, 2011), Negative Binomial Regression, Cambridge University Press Hilbe, Joseph M (2009), Logistic Regression Models, Chapman & Hall/CRC
library(MASS) library(msme) data(titanicgrp) glmlr <- glm(survive ~ age + sex + factor(class) + offset(log(cases)), family=poisson, data=titanicgrp) summary(glmlr) exp(coef(glmlr))lcases <- titanicgrp$cases nb2o <- nbinomial(survive ~ age + sex + factor(class), formula2 =~ age + sex, offset = lcases, mean.link="log", scale.link="log_s", data=titanicgrp) summary(nb2o) exp(coef(nb2o))
Dataset imported from https://www.r-project.org.
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