Book Description
Harness the power of RStudio to create web applications, R packages, markdown reports and pretty data visualizations
About This Book
 Discover the multifunctional use of RStudio to support your daily work with R code
 Learn to create stunning, meaningful, and interactive graphs and learn to embed them into easy communicable reports using multiple R packages
 Develop your own R packages and Shiny web apps to share your knowledge and collaborate with others.
Who This Book Is For
This book is aimed at R developers and analysts who wish to do R statistical development while taking advantage of RStudio's functionality to ease their development efforts. R programming experience is assumed as well as being comfortable with R's basic structures and a number of functions.
What You Will Learn
 Discover the RStudio IDE and details about the user interface
 Communicate your insights with R Markdown in static and interactive ways
 Learn how to use different graphic systems to visualize your data
 Build interactive web applications with the Shiny framework to present and share your results
 Understand the process of package development and assemble your own R packages
 Easily collaborate with other people on your projects by using Git and GitHub
 Manage the R environment for your organization with RStudio and Shiny server
 Apply your obtained knowledge about RStudio and R development to create a realworld dashboard solution
In Detail
RStudio helps you to manage small to large projects by giving you a multifunctional 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 realworld 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 with RStudio 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.
Style and approach
An easytofollow guide full of handson examples to master RStudio.
Beginning from explaining the basics, each topic is explained with a lot of details for every feature.
Table of Contents

Mastering RStudio – Develop, Communicate, and Collaborate with R
 Table of Contents
 Mastering RStudio – Develop, Communicate, and Collaborate with R
 Credits
 About the Authors
 About the Reviewer
 www.PacktPub.com
 Preface

1. The RStudio IDE – an Overview

Downloading and installing RStudio
 Installing R
 For Ubuntu
 Using RStudio with different versions of R
 Updating RStudio
 Getting to know the RStudio interface
 The four main panes
 The Source editor pane
 Syntax highlighting
 The Environment and History panes
 Console pane
 The Files, Plots, Packages, Help, and Viewer panes
 Customizing RStudio
 Using keyboard shortcuts
 Working with RStudio and projects
 Summary

Downloading and installing RStudio

2. 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
 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 Webapp 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
 6. Creating Professional Dashboards with R and Shiny

7. 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

9. 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
 Index
Product Information
 Title: Mastering RStudio – Develop, Communicate, and Collaborate with R
 Author(s):
 Release date: December 2015
 Publisher(s): Packt Publishing
 ISBN: 9781783982547