In this chapter, we have learned the two main ways to create interactive R Markdown documents. On the one hand, there is the versatile, usable Shiny framework. This includes the inbuilt Shiny documents and presentations options in RStudio, and also the ggvis
package, which takes the advantages of the Shiny framework to build its interactivity. On the other hand, we introduced several already known, and also some new, R packages that make it possible to create several different types of interactive charts. Most of them achieve this by binding R to Existing JavaScript libraries. In the next chapter, you will learn how to write robust R functions.
Mastering RStudio: Develop, Communicate, and Collaborate with R
Mastering RStudio: Develop, Communicate, and Collaborate with R
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
Free Chapter
The RStudio IDE – an Overview
Communicating Your Work with R Markdown
R Lesson I – Graphics System
Shiny – a Web-app Framework for R
Interactive Documents with R Markdown
Creating Professional Dashboards with R and Shiny
Package Development in RStudio
Collaborating with Git and GitHub
R for your Organization – Managing the RStudio Server
Extending RStudio and Your Knowledge of R
Index
Customer Reviews