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Mastering RStudio: Develop, Communicate, and Collaborate with R

You're reading from 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

Product type Paperback

Published in Dec 2015

Publisher Packt

ISBN-13 9781783982547

Length 348 pages

Edition 1st Edition

Languages

R

Tools

RStudio

Concepts

Application Development

Authors (2):

Julian Hillebrand

Nierhoff

View More author details

Table of Contents (17) Chapters

Mastering RStudio – Develop, Communicate, and Collaborate with R

Credits

About the Authors

About the Reviewer

www.PacktPub.com

Preface

1. The RStudio IDE – an Overview FREE CHAPTER

2. Communicating Your Work with R Markdown

3. R Lesson I – Graphics System

4. Shiny – a Web-app Framework for R

5. Interactive Documents with R Markdown

6. Creating Professional Dashboards with R and Shiny

7. Package Development in RStudio

8. Collaborating with Git and GitHub

9. R for your Organization – Managing the RStudio Server

10. Extending RStudio and Your Knowledge of R

Index

Summary

In this chapter, we have learned the two main ways to create interactive R Markdown documents. On the one hand, there is the versatile, usable Shiny framework. This includes the inbuilt Shiny documents and presentations options in RStudio, and also the ggvis package, which takes the advantages of the Shiny framework to build its interactivity. On the other hand, we introduced several already known, and also some new, R packages that make it possible to create several different types of interactive charts. Most of them achieve this by binding R to Existing JavaScript libraries. In the next chapter, you will learn how to write robust R functions.

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Authors (2)

Julian Hillebrand

Julian Hillebrand

Julian Hillebrand studied international business marketing management at the Cologne Business School in Germany. His interest in the current questions of the business world showed him the importance of data-driven decision-making. Because of the growing size of available inputs, he soon realized the great potential of R for analyzing and visualizing data. This fascination made him start a blog project about using data science, especially for social media data analysis, which can be found at http://thinktostart.com/. He managed to combine his hands-on tutorials with his marketing and business knowledge. Julian is always looking for new technological opportunities and is also interested in the emerging field of machine learning. He completed several digital learning offerings to take his data science capabilities to the next level.

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Nierhoff

Nierhoff

Maximilian H. Nierhoff is an analyst for online marketing with more than half a decade of experience in managing online marketing channels and digital analytics. After studying economics, cultural activities, and creative industries, he started building online marketing departments and realized quickly that future marketing forces should also have programming knowledge. He has always been passionate about everything related to the topics of data, marketing, and customer journey analysis. Therefore, he has specialized in using R since then, which is his first-choice language for programming, data science, and analysis capabilities. He considers himself a lifelong learner and is an avid user of MOOCs, which are about R and digital analytics.

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