Mastering RStudio – Develop, Communicate, and Collaborate with R

Julian Hillebrand, Maximilian H. Nierhoff, Maximilian H. Nierhoff

• Publisher: Packt Publishing
• Year: 2015
• ISBN:
  9781783982554
• Edition: 1
• Topic: Computer Science
• Subtopic: Application Development
• Index: Computer Science

Harness the power of RStudio to create web applications, R packages, markdown reports and pretty data visualizationsAbout This Book• Discover the multi-functional 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 othersWho This Book Is ForThis 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 real-world dashboard solutionIn DetailRStudio 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 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 approachAn easy-to-follow guide full of hands-on examples to master RStudio.Beginning from explaining the basics, each topic is explained with a lot of details for every feature.

Mastering RStudio – Develop, Communicate, and Collaborate with R

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Table of Contents

Mastering RStudio – Develop, Communicate, and Collaborate with R

Credits

About the Authors

About the Reviewer

www.PacktPub.com

Support files, eBooks, discount offers, and more

Why subscribe?

Free access for Packt account holders

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Errata

Piracy

Questions

1. The RStudio IDE – an Overview

Downloading and installing RStudio

Installing R

For Ubuntu

Using RStudio with different versions of R

Windows

Ubuntu

Updating RStudio

Getting to know the RStudio interface

The four main panes

The Source editor pane

Syntax highlighting

Code completion

Executing R Code from the source pane

Code folding

Debugging code

The Environment and History panes

History pane

Console pane

The Files, Plots, Packages, Help, and Viewer panes

The Files pane

The Plot pane

The Packages pane

The Help pane

The Viewer pane

Customizing RStudio

Using keyboard shortcuts

Working with RStudio and projects

Creating a project with RStudio

Locating your project

Using RStudio with Dropbox

Preventing Dropbox synchronization conflicts

Creating your first project

Organizing your folders

Saving the data

Analyzing the data

Correcting the path for report exporting

Exporting your analysis as a report

Summary

2. Communicating Your Work with R Markdown

The concept of reproducible research

Doing reproducible research with R Markdown

What is Markdown?

What is literate programming?

A brief side note on Sweave

Dynamic report generation with knitr

What is R Markdown?

A side note about LaTeX

Configuring R Markdown

Getting started with R Markdown in RStudio

Creating your first R Markdown document

The R Markdown interface

Inspecting the R Markdowns panes

Explaining the R Markdown File pane settings

File tab arrows

Saving current document

Spell check

Find/replace

Question mark

Knit HTML

Gear icon

Output Format: HTML

Output Format – PDF

Output Format – Word

Run and re-run icons

Chunks

Jump to menu

Viewer pane options

Advanced R Markdown documents

Getting to know R code chunks

Customizing R code chunks

Chunk options

Avoiding errors, warnings, and other messages

Hiding distracting lines of code

Embedding R code inline

Labeling code chunks

Pandoc and knitr options

Output formats

Changing the look of the output

Using a custom CSS style sheet

Using R Markdown templates

Package vignette

The Tufte handout

Compiling R Notebooks

Generating R Markdown presentations

ioslides

Slidy

Beamer

Summary

3. R Lesson I – Graphics System

The graphic system in R

An introduction to the graphic devices

The R graphics package—base

Creating base plots

Using the base graphics

Base graphics parameters

Annotating with base plotting functions

Introducing the lattice package

Creating lattice plots

Getting to know the lattice plot types

The lattice panel functions

Lattice key points summary

Introducing ggplot2

Looking at the history of ggplot2

The Grammar of Graphics

Applying The Grammar of Graphics with ggplot2

Using ggplot2

Installing the ggplot2 package

Qplot() and ggplot()

Creating your first graph with ggplot2

Modifying ggplot objects with the plus operator

Setting the aesthetics parameter

Adding layers using geoms

Choosing the right geom

Modifying parameters

Changing the color of your plot

Changing the shape

Changing the size

Saving ggplot objects in variables

Using stats layers

Saving ggplot graphs

Customizing your charts

Subsetting your data

Setting titles

Changing the axis labels

Swapping the X and Y axes

Improving the look of ggplot2 charts

Creating graphs with the economist theme

Creating graphs with the wall street journal theme

Interactive plotting systems

Introducing ggvis

Our first ggvis graphic

Interactive ggvis graphs

A look at the rCharts package

Using googleVis

HTML widgets

dygraphs

Leaflet

rbokeh

Summary

4. Shiny – a Web-app Framework for R

Introducing Shiny – the app framework

Creating a new Shiny web app...

Table of contents

• Mastering RStudio – Develop, Communicate, and Collaborate with R