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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

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Product type Paperback
Published in Dec 2015
Publisher Packt
ISBN-13 9781783982547
Length 348 pages
Edition 1st Edition
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Toc

Table of Contents (12) Chapters Close

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

Advanced R Markdown documents

After compiling our first R Markdown report, we want to go ahead and look at the advanced options for embedding code chunks with the knitr syntax. Also, you will learn how to brand your reports with custom style sheets.

Getting to know R code chunks

As we have already seen in our sample report, R Markdown uses so called code chunks to render R Code into reports.

Getting to know R code chunks

This exemplary code chunk shows the most elementary way to include an R code snippet in our .Rmd file. Just three back ticks, ``` at the beginning and end of the chunk, and the letter r in curly brackets, {r}.

Getting to know R code chunks

Even if it is a short code chunk, the output includes an H1 heading, the used R code, and a complete plot.

Customizing R code chunks

R Markdown offers a lot of options to customize your code chunks. This is necessary because, on the one hand, R Markdown includes all code lines and even error and warning messages by default. On the other hand, including many lines of code may distract readers from your...

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