R Dataset / Package COUNT / titanic

How To Create a Barplot

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Visual
Instructional

How To Create a Stacked Barplot

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How To Create a Pie Chart

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How To Compute the Mean

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Numerical
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How To Create a Plot

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Visual
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How to Compute the Median

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Numerical

Boxplot

Submitted by pmagunia on April 22, 2018 - 3:07 PM
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Correlation Coefficient

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Cumulative Frequency Histogram

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Dotplot

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Hollow Histogram

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Numerical Summaries

Submitted by pmagunia on April 22, 2018 - 2:51 PM
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Pie Chart

Submitted by pmagunia on April 22, 2018 - 3:11 PM
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Plot

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Regression

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Stem and Leaf Plots

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Visual Summaries

Submitted by pmagunia on April 22, 2018 - 3:13 PM
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Submitted by pmagunia on March 9, 2018 - 1:06 PM
<iframe src="https://embed.picostat.com/r-dataset-package-count-titanic.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-54019.csv 42.41 KB
Dataset License
GNU General Public License v2.0
Documentation License
GNU General Public License v2.0
Documentation

On this Picostat.com statistics page, you will find information about the titanic data set which pertains to titanic. The titanic data set is found in the COUNT R package. You can load the titanic data set in R by issuing the following command at the console data("titanic"). This will load the data into a variable called titanic. If R says the titanic 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 titanic R data set. The size of this file is about 43,427 bytes.


titanic

Description

The data is an observation-based version of the 1912 Titanic passenger survival log,

Usage

data(titanic)

Format

A data frame with 1316 observations on the following 4 variables.

class

a factor with levels 1st class 2nd class 3rd class crew

age

a factor with levels child adults

sex

a factor with levels women man

survived

a factor with levels no yes

Details

titanic is saved as a data frame. Used to assess risk ratios

Source

Found in many other texts

References

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

Examples

data(titanic)
titanic$survival <- titanic$survived == "yes"
glmlr <- glm(survival ~ age + sex + factor(class), family=binomial, data=titanic)
summary(glmlr)
--

Dataset imported from https://www.r-project.org.
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