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.
Table of Contents (17 chapters)
Mastering RStudio – Develop, Communicate, and Collaborate with R
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Preface
Index

Interactive plotting systems


The base, lattice, or ggplot2 plotting systems make it possible to create all conceivable plot types, either quick and simple, or even utterly detailed and sophisticated. All these systems have their own features and peculiarities. But they also have one thing in common: the relevant plots are all purely static.

In particular, the ubiquitous use of the Internet and corresponding browsers make it possible to easily share interactive content. Interactivity, in turn, helps humans to better understand the contents by actively interacting with them. Interactive charts are, of course, a great improvement, since viewers can play with the displayed data, and thus discover possible coherences and differences among other things to get a better understanding of the shown plot.

Introducing ggvis

ggvis is practically the next evolutionary step forward from the successful data visualization package, ggplot2. Hadley Wickham (who is already the author of the ggplot2 package) and...