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.

Related Content you might be interested in

Current Title:

Small book image
Mastering RStudio: Develop, Communicate, and Collaborate with R
Dec, 2015 | 348 pages
No titles found
Table of Contents (17 chapters)
Mastering RStudio – Develop, Communicate, and Collaborate with R
Mastering RStudio – Develop, Communicate, and Collaborate with R
Credits
Credits
About the Authors
About the Authors
About the Reviewer
About the Reviewer
www.PacktPub.com
www.PacktPub.com
Preface
Preface
Free Chapter
1
The RStudio IDE – an Overview
The RStudio IDE – an Overview
Downloading and installing RStudio
Working with RStudio and projects
Summary
2
Communicating Your Work with R Markdown
Communicating Your Work with R Markdown
The concept of reproducible research
Doing reproducible research with R Markdown
Getting started with R Markdown in RStudio
The R Markdown interface
Advanced R Markdown documents
Summary
3
R Lesson I – Graphics System
R Lesson I – Graphics System
The graphic system in R
The R graphics package—base
Introducing the lattice package
Introducing ggplot2
Applying The Grammar of Graphics with ggplot2
Using ggplot2
Customizing your charts
Interactive plotting systems
Summary
4
Shiny – a Web-app Framework for R
Shiny – a Web-app Framework for R
Introducing Shiny – the app framework
The concept of reactivity
Discovering the scope of the Shiny user interface
Sharing your Shiny application with others
Diving into the Shiny ecosystem
Summary
5
Interactive Documents with R Markdown
Interactive Documents with R Markdown
Creating interactive documents with R Markdown
Using R Markdown and Shiny
Embedding interactive charts into R Markdown
Publishing interactive R Markdown documents
Summary
6
Creating Professional Dashboards with R and Shiny
Creating Professional Dashboards with R and Shiny
Explaining the concept of dashboards
Introducing the shinydashboard package
Showing the elements of shinydashboard
Building your own KPI dashboard
Summary
7
Package Development in RStudio
Package Development in RStudio
Understanding R packages
Installing devtools
Building packages with RStudio
Using Packrat with a project
Writing the documentation for a package
Understanding the namespaces of a package
Building and checking a package
Using roxygen2 for package documentation
Testing a package
Adding a dataset to a package
Writing a package vignette with R markdown
References for further information
Summary
8
Collaborating with Git and GitHub
Collaborating with Git and GitHub
Introducing version control
Using Git with RStudio
Using branches
Further resources
Summary
9
R for your Organization – Managing the RStudio Server
R for your Organization – Managing the RStudio Server
Managing the RStudio Server
Setting up R, RStudio, and the Shiny Server
Summary
10
Extending RStudio and Your Knowledge of R
Extending RStudio and Your Knowledge of R
Extending RStudio, finding answers, and more
RStudio environment customizations
R help is on the way
Improving your R knowledge
Staying up to date in the R world
Summary
Index
Index

Setting up R, RStudio, and the Shiny Server

Our server is up and running and we are able to communicate with our instance through the Secure Shell. Therefore, it is time to install the R, RStudio, and Shiny servers.

Choosing your RStudio version

There are two different versions of the RStudio Server: the open source version that is free to download, and the Enterprise version, also called RStudio Pro, which represents the paid version and contains some more administrative tools and features. The features are a more effective resource management tool, monitoring functionalities and enhanced security options. We will choose the open source version in the later parts of this chapter.

Installing base R

Open your terminal and connect with your instance. It is recommended that you use sudo in front of any command, since our instance is an Ubuntu server. Sudo is a command on Unix and Unix-like operating systems, such as Linux or Mac OS X, that is used to launch processes with the privileges of the...

Previous Section
End of Section 3
Next Section