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  • Book Overview & Buying Mastering RStudio: Develop, Communicate, and Collaborate with R
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Mastering RStudio: Develop, Communicate, and Collaborate with R

Mastering RStudio: Develop, Communicate, and Collaborate with R

By : Julian Hillebrand, Nierhoff
4.6 (5)
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Mastering RStudio: Develop, Communicate, and Collaborate with R

Mastering RStudio: Develop, Communicate, and Collaborate with R

4.6 (5)
By: Julian Hillebrand, Nierhoff
Buy this Book

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 (12 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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1
1. The RStudio IDE – an Overview
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1. The RStudio IDE – an Overview
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Downloading and installing RStudio
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Working with RStudio and projects
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Summary
2
2. Communicating Your Work with R Markdown
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2. Communicating Your Work with R Markdown
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The concept of reproducible research
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Doing reproducible research with R Markdown
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Getting started with R Markdown in RStudio
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The R Markdown interface
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Advanced R Markdown documents
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Summary
3
3. R Lesson I – Graphics System
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3. R Lesson I – Graphics System
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The graphic system in R
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The R graphics package—base
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Introducing the lattice package
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Introducing ggplot2
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Applying The Grammar of Graphics with ggplot2
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Using ggplot2
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Customizing your charts
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Interactive plotting systems
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Summary
4
4. Shiny – a Web-app Framework for R
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4. Shiny – a Web-app Framework for R
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Introducing Shiny – the app framework
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The concept of reactivity
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Discovering the scope of the Shiny user interface
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Sharing your Shiny application with others
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Diving into the Shiny ecosystem
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Summary
5
5. Interactive Documents with R Markdown
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5. Interactive Documents with R Markdown
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Creating interactive documents with R Markdown
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Using R Markdown and Shiny
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Embedding interactive charts into R Markdown
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Publishing interactive R Markdown documents
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Summary
6
6. Creating Professional Dashboards with R and Shiny
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6. Creating Professional Dashboards with R and Shiny
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Explaining the concept of dashboards
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Introducing the shinydashboard package
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Showing the elements of shinydashboard
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Building your own KPI dashboard
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Summary
7
7. Package Development in RStudio
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7. Package Development in RStudio
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Understanding R packages
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Installing devtools
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Building packages with RStudio
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Using Packrat with a project
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Writing the documentation for a package
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Understanding the namespaces of a package
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Building and checking a package
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Using roxygen2 for package documentation
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Testing a package
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Adding a dataset to a package
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Writing a package vignette with R markdown
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References for further information
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Summary
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8. Collaborating with Git and GitHub
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8. Collaborating with Git and GitHub
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Introducing version control
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Using Git with RStudio
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Using branches
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Further resources
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Summary
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9. R for your Organization – Managing the RStudio Server
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9. R for your Organization – Managing the RStudio Server
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Managing the RStudio Server
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Setting up R, RStudio, and the Shiny Server
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Summary
10
10. Extending RStudio and Your Knowledge of R
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10. Extending RStudio and Your Knowledge of R
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Extending RStudio, finding answers, and more
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RStudio environment customizations
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R help is on the way
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Improving your R knowledge
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Staying up to date in the R world
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Summary
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Index
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Index

Chapter 1. The RStudio IDE – an Overview

The number of users adopting the R programming language has been increasing faster and faster in the last few years. It is not just used for smaller analyses, but also for bigger projects, and often, several people collaborating on the same project. The functions of the R console are limited when it comes to managing a lot of files, or when we want to work with version control systems. This is the reason, in combination with the increasing adoption rate, why a need for a better development environment arose. To serve this need, a team of R fans began to develop an integrated development environment (IDE) to make it easier to work on bigger projects and to collaborate with others. This IDE has the name, RStudio. We will introduce you to this fantastic software and show you how to take your R programming to the next level. Mastering the use of RStudio will help you solve real-world problems faster and more effectively.

In this chapter, we will introduce you to the RStudio interface and build the foundation for more advanced topics in the following chapters.

This chapter covers the following topics:

  • Downloading and installing RStudio
  • Getting to know the RStudio interface
  • Working with RStudio projects
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Tech Concepts
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Programming languages
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