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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

Adding text to a ggplot2 plot at a custom location


When displaying the results of your analysis, even if at exploratory stages, it is crucial to have the ability to customize your data visualization.

One thing I always find particularly useful is using the text annotations on your plot to highlight the findings in the most effective way.

In ggplot2, you can do this using the geom_text() function, moving your string around the plot to adjust the position argument. So, you will have to try and try again until you find the correct position for your handful of words. But, what if you could just select a location for your text by just clicking on it with your cursor?

That is exactly what this recipe is for; you will be able to add a custom text on your plot and place it at the defined location with a simple click on the plot itself.

Getting ready

We first need to install and load the ggplot2 and ggmap packages:

install.packages(c("ggplot2","ggmap"))
library(ggplot2)
library(ggmap)

How to do it...

  1. Build...

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