R Dataset / Package cluster / ruspini

How To Create a Barplot

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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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How To Create a Plot

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How to Compute the Median

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Boxplot

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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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Regression

Stem and Leaf Plots

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Visual Summaries

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Embed
<iframe src="https://embed.picostat.com/r-dataset-package-cluster-ruspini.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-11814.csv 498 bytes
Dataset License
GNU General Public License v2.0
Documentation License
GNU General Public License v2.0
Dataset Help

On this Picostat.com statistics page, you will find information about the ruspini data set which pertains to Ruspini Data. The ruspini data set is found in the cluster R package. You can load the ruspini data set in R by issuing the following command at the console data("ruspini"). This will load the data into a variable called ruspini. If R says the ruspini 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. 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 ruspini R data set. The size of this file is about 498 bytes.

Documentation

Ruspini Data

Description

The Ruspini data set, consisting of 75 points in four groups that is popular for illustrating clustering techniques.

Usage

data(ruspini)

Format

A data frame with 75 observations on 2 variables giving the x and y coordinates of the points, respectively.

Source

E. H. Ruspini (1970) Numerical methods for fuzzy clustering. Inform. Sci. 2, 319–350.

References

see those in agnes.

Examples

data(ruspini)## Plot similar to Figure 4 in Stryuf et al (1996)
## Not run: plot(pam(ruspini, 4), ask = TRUE)
## Plot similar to Figure 6 in Stryuf et al (1996)
plot(fanny(ruspini, 5))
--

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

R Output Date
Picostat Output - Numerical Summaries May 5, 2020