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Mastering RStudio: Develop, Communicate, and Collaborate with R

You're reading from   Mastering RStudio: Develop, Communicate, and Collaborate with R Harness the power of RStudio to create web applications, R packages, markdown reports and pretty data visualizations

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Product type Paperback
Published in Dec 2015
Publisher Packt
ISBN-13 9781783982547
Length 348 pages
Edition 1st Edition
Languages
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Table of Contents (12) Chapters Close

Preface 1. The RStudio IDE – an Overview FREE CHAPTER 2. Communicating Your Work with R Markdown 3. R Lesson I – Graphics System 4. Shiny – a Web-app Framework for R 5. Interactive Documents with R Markdown 6. Creating Professional Dashboards with R and Shiny 7. Package Development in RStudio 8. Collaborating with Git and GitHub 9. R for your Organization – Managing the RStudio Server 10. Extending RStudio and Your Knowledge of R Index

Summary

In this chapter, you learned, step by step, how to create an AWS account to set up and launch your EC2 instance, and how to use S3 cloud storage to save your data. Next, you learned, in detail, how you can use the terminal to communicate with your EC2 instance via SSH. In this manner, we then installed and fully set up R, RStudio, and the Shiny server. Then, you learned how to manage and administrate both RStudio and the Shiny server.

Generally, there are, of course, several other good services besides Amazon AWS, such as Digital Ocean, Heroku, and others, where you can set up and launch the RStudio server in nearly the same manner and time. And, since some time, the famous concept of containerization in terms of Docker, with the related RStudio image named rocker, marks a possible AWS and hosting alternative in combination with Docker hosting services such as tutum, StackDock, dotCloud, and many others.

In the upcoming chapter, you will discover how to extend your RStudio usage with...

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