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

Mastering RStudio – Develop, Communicate, and Collaborate with R

Mastering
Julian Hillebrand, Maximilian H. Nierhoff

10 customer reviews
Harness the power of RStudio to create web applications, R packages, markdown reports and pretty data visualizations
$39.99
$49.99
RRP $39.99
RRP $49.99
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Book Details

ISBN 139781783982547
Paperback348 pages

Book Description

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

Chapter 1: The RStudio IDE – an Overview
Downloading and installing RStudio
Working with RStudio and projects
Summary
Chapter 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
Chapter 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
Chapter 4: 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
Chapter 5: 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
Chapter 6: 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
Chapter 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
Chapter 8: Collaborating with Git and GitHub
Introducing version control
Using Git with RStudio
Using branches
Further resources
Summary
Chapter 9: R for your Organization – Managing the RStudio Server
Managing the RStudio Server
Setting up R, RStudio, and the Shiny Server
Summary
Chapter 10: 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

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 Shiny server
  • Apply your obtained knowledge of R development to create a real-world dashboard solution

Authors

Table of Contents

Chapter 1: The RStudio IDE – an Overview
Downloading and installing RStudio
Working with RStudio and projects
Summary
Chapter 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
Chapter 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
Chapter 4: 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
Chapter 5: 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
Chapter 6: 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
Chapter 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
Chapter 8: Collaborating with Git and GitHub
Introducing version control
Using Git with RStudio
Using branches
Further resources
Summary
Chapter 9: R for your Organization – Managing the RStudio Server
Managing the RStudio Server
Setting up R, RStudio, and the Shiny Server
Summary
Chapter 10: 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

Book Details

ISBN 139781783982547
Paperback348 pages
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