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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

Constructing RStudio add-ins


RStudio add-ins are one of the newest and most promising developments introduced recently by the RStudio team. They add infinite possibilities for improvement to users' workflows through the enhancement of their IDE.

There are two main types of add-ins:

  • Text macros: These only produce a text insertion within your code (for instance the (){} structure to be added after the function token).

  • Shiny gadgets: These are little Shiny apps that are shown within the viewer pane, a pop-up window, or a browser window. They let you perform advanced activities such as statistical parameter definition or data-wrangling tasks.

In this example, we will develop the second type of add-in from the function definition, for deployment and installation as a package on GitHub.

Our example will be a funny one: we will develop an add-in that lets you see weather forecasts for a specified city within the R console.

Getting ready

Let's first install the shiny and miniUI packages:

install.packages...
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