# R Dataset / Package COUNT / titanicgrp

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On this R-data 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. You can load the titanicgrp data set in R by issuing the following command at the console data("titanicgrp"). This will 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. 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. ## titanicgrp## DescriptionThe data is an grouped version of the 1912 Titanic passenger survival log, ## Usagedata(titanicgrp) ## FormatA data frame with 12 observations on the following 5 variables. `survive` -
number of passengers who survived `cases` -
number of passengers with same pattern of covariates `age` -
1=adult; 0=child `sex` -
1=Male; 0=female `class` -
ticket class 1= 1st class; 2= second class; 3= third class
## Detailstitanicgrp is saved as a data frame. Used to assess risk ratios ## SourceFound in many other texts ## ReferencesHilbe, 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 ## Exampleslibrary(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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Attachment | Size |
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dataset-22866.csv | 184 bytes |