R Dataset / Package cluster / animals

How To Create a Barplot

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Visual
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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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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

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Pie Chart

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Plot

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Ratio

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Regression

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Stem and Leaf Plots

Submitted by pmagunia on April 22, 2018 - 3:12 PM
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Visual Summaries

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Submitted by pmagunia on March 9, 2018 - 1:06 PM
<iframe src="https://embed.picostat.com/r-dataset-package-cluster-animals.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-65725.csv 361 bytes
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 animals data set which pertains to Attributes of Animals. The animals data set is found in the cluster R package. Try to load the animals data set in R by issuing the following command at the console data("animals"). This may load the data into a variable called animals. If R says the animals data set is not found, you can try installing the package by issuing this command install.packages("cluster") and then attempt to reload the data with library("cluster") followed by data("animals"). 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 animals 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 animals R data set. The size of this file is about 361 bytes.


Attributes of Animals

Description

This data set considers 6 binary attributes for 20 animals.

Usage

data(animals)

Format

A data frame with 20 observations on 6 variables:

[ , 1] war warm-blooded
[ , 2] fly can fly
[ , 3] ver vertebrate
[ , 4] end endangered
[ , 5] gro live in groups
[ , 6] hai have hair

All variables are encoded as 1 = ‘no’, 2 = ‘yes’.

Details

This dataset is useful for illustrating monothetic (only a single variable is used for each split) hierarchical clustering.

Source

Leonard Kaufman and Peter J. Rousseeuw (1990): Finding Groups in Data (pp 297ff). New York: Wiley.

References

see Struyf, Hubert & Rousseeuw (1996), in agnes.

Examples

data(animals)
apply(animals,2, table) # simple overviewma <- mona(animals)
ma
## Plot similar to Figure 10 in Struyf et al (1996)
plot(ma)

--

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