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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

Developing a single-file Shiny app


Shiny apps probably were one of the most game-changing products developed by RStudio.

These apps, because of their ability to link the analytical environment to the production one, are great instruments in the hands of developers and researchers interested in transforming their work into an actual data-driven product.

In this recipe, I will introduce you to the single-file app, which is becoming the standard for Shiny app development.

When Shiny was first introduced, apps had to be composed of two separate files: one for the user interface and another for the server logic.

Among several refinements and improvements, the RStudio team later introduced a way to produce a Shiny app contained within a single R script. This app is named app.R.

Getting ready

First, we need to install the Shiny package and load it in the R environment:

Install.packages('shiny')
library(shiny)

How to do it…

  1. Create an app.R file.

  2. Add a call to the Shiny package:

    library(shiny)
  3. Create a ui object...

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