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Learning Shiny

You're reading from   Learning Shiny Make the most of R's dynamic capabilities and implement web applications with Shiny

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Product type Paperback
Published in Oct 2015
Publisher
ISBN-13 9781785280900
Length 246 pages
Edition 1st Edition
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Authors (2):
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Hernan Resnizky Hernan Resnizky
Author Profile Icon Hernan Resnizky
Hernan Resnizky
Hernan Resnizky Hernan Resnizky
Author Profile Icon Hernan Resnizky
Hernan Resnizky
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Toc

Table of Contents (13) Chapters Close

Preface 1. Introducing R, RStudio, and Shiny FREE CHAPTER 2. First Steps towards Programming in R 3. An Introduction to Data Processing in R 4. Shiny Structure – Reactivity Concepts 5. Shiny in Depth – A Deep Dive into Shiny's World 6. Using R's Visualization Alternatives in Shiny 7. Advanced Functions in Shiny 8. Shiny and HTML/JavaScript 9. Interactive Graphics in Shiny 10. Sharing Applications 11. From White Paper to a Full Application Index

shinyapps.io

Unlike older versions of RStudio's application hosting services (such as Spark or Glimmer), shinyapps.io does not provide a development environment in the cloud. For this reason, the user has to develop their applications entirely somewhere else (either locally or on another server) and then upload the applications to their shinyapps.io account. The following shows an outline of the necessary steps to do this:

  1. Check whether you have the corresponding package builder in your operating system. This is basically a compiler that will be used by R in order to build the packages.
  2. Install devtools. This is a package that is included in CRAN, the official R repository, to develop and distribute packages that are not available in CRAN. Among their functions, for example, install_github can be found, which installs a package from a GitHub repository. The installation command is the same for all the packages:
    install.packages("devtools")
    
  3. The previous step was necessary mainly...
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