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

Summary


In this chapter, we learned how to create R Markdown documents and presentations. At the beginning of the chapter, we familiarized ourselves with the basics of the concept of reproducible research and how to accomplish this approach with R Markdown and the RStudio IDE. This includes setting up R Markdown and installing all the requisite packages.

We continued by studying the R Markdown interface in the RStudio IDE, and got to know all the relevant functions and how to use them. In addition to writing Markdown and integrating R code correctly, we also learned about the different output formats such as HTML, PDF, and Word. We are now able to create advanced R Markdown documents and presentations.

In the next chapter, we will focus our attention on ways to visualize our data with R, RStudio, and relevant graphical packages. For this purpose, we will dedicate ourselves mainly to the the ggplot2 and ggvis packages after the introduction of the base graphics system, Lattice. We will also...