Book Image

Mastering RStudio: Develop, Communicate, and Collaborate with R

4 (1)
Book Image

Mastering RStudio: Develop, Communicate, and Collaborate with R

4 (1)

Overview of this book

RStudio helps you to manage small to large projects by giving you a multi-functional integrated development environment, combined with the power and flexibility of the R programming language, which is becoming the bridge language of data science for developers and analyst worldwide. Mastering the use of RStudio will help you to solve real-world data problems. This book begins by guiding you through the installation of RStudio and explaining the user interface step by step. From there, the next logical step is to use this knowledge to improve your data analysis workflow. We will do this by building up our toolbox to create interactive reports and graphs or even web applications with Shiny. To collaborate with others, we will explore how to use Git and GitHub and how to build your own packages to ensure top quality results. Finally, we put it all together in an interactive dashboard written with R.
Table of Contents (17 chapters)
Mastering RStudio – Develop, Communicate, and Collaborate with R
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Preface
Index

Publishing interactive R Markdown documents


There are several ways to publish your interactive R Markdown documents. But, based on how the interactivity was created in the respective document, the final product can be published. So, if we remember the introduction of this chapter, there are two ways to create interactivity: first, using the Shiny framework; second, integrating interactive chart packages.

All R Markdown documents that are based on the Shiny framework can easily be deployed by typing shinyapps::deployApp() into the console of the http://www.shinyapps.io/ service (introduced in Chapter 4, Shiny – a Web-app Framework for R), and of course, into our own Shiny servers. This applies not only to Shiny documents and presentations, but also to documents with interactive ggvis elements, since ggvis uses the Shiny framework.

In contrast, R Markdown documents that are created with interactive chart packages, such as rCharts, googleVis, dygraphs, and so on, can also be published on http...