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RStudio for R Statistical Computing Cookbook

You're reading from   RStudio for R Statistical Computing Cookbook Over 50 practical and useful recipes to help you perform data analysis with R by unleashing every native RStudio feature

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Product type Paperback
Published in Apr 2016
Publisher
ISBN-13 9781784391034
Length 246 pages
Edition 1st Edition
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Author (1):
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Andrea Cirillo Andrea Cirillo
Author Profile Icon Andrea Cirillo
Andrea Cirillo
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Table of Contents (10) Chapters Close

Preface 1. Acquiring Data for Your Project 2. Preparing for Analysis – Data Cleansing and Manipulation FREE CHAPTER 3. Basic Visualization Techniques 4. Advanced and Interactive Visualization 5. Power Programming with R 6. Domain-specific Applications 7. Developing Static Reports 8. Dynamic Reporting and Web Application Development Index

Building a rotating 3D graph and exporting it as a GIF

When dealing with complex datasets, having the possibility to show your data in a 3D environment can be really enhancing.

This recipe will show you how to create such a plot, animate it, and export your animation as a GIF.

Getting ready

This recipe will leverage the rgl package specifically developed for 3D visualizations in R:

install.packages("rgl")
library(rgl)

We will also need to install ImageMagick in order to perform the export into the GIF format.

You can find instructions for software installation at http://www.imagemagick.org/script/binary-releases.php.

As an explicative dataset, we will use the iris dataset, which is a built-in dataset available with all base R installations.

The iris dataset is one of the most used datasets in R tutorials and learning sessions, and it is derived from a 1936 paper by Ronald Fisher, named The use of multiple measurements in taxonomic problems.

Data was observed on 50 samples of 3 species...

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