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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

Changing axes appearance to ggplot2 plot (continous axes)

This recipe shows you how to get control over an axis within a ggplot plot.

The ggplot2 package does a great job of automatically setting the appearance of the axes, but sometimes, even in the early stages of your project, you may want your axis to appear in a specific shape, showing, for instance, a defined number of tickmarks.

This is what this recipe is all about—giving you control over the appearance of your ggplot axes.

In this example, we will use a plot based on the Iris dataset.

The Iris dataset is one of 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 three species of the iris flower:

  • Iris setosa
  • Iris virginica
  • Iris versicolor

On each sample for features were recorded:

  • length of the sepals
  • width of the sepals
  • length of the petals
  • width of the petals

For a general and brief...

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