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Learning RStudio for R Statistical Computing

You're reading from  Learning RStudio for R Statistical Computing

Product type Book
Published in Dec 2012
Publisher Packt
ISBN-13 9781782160601
Pages 126 pages
Edition 1st Edition
Languages
Concepts

Further reading


If you want to write reproducible reports, it is nearly inevitable to have to learn at least one markup language. All languages discussed here—Markdown, HTML, and LaTeX—are available in open source. For Markdown, the website of John Gruber (www.daringfireball.net) offers a nice overview of the syntax. The Markdown renderer of RStudio is actually based on the sundown library of Vincent Martí, which has some extensions. An overview is given at rstudio.org/docs/r_markdown. The knit r package offers an extensive set of options to control how code chunks are parsed into the final report as well as features such as code externalization that have not been discussed here. Full documentation can be found at Yihui Xie's website, http://yihui.name/knitr/ (click on the Options tab). To learn about LaTeX, the Not so Short Introduction to LaTeX (Tobias Oetiker et al.), included in nearly every LaTeX distribution, is a good place to start. The Guide to Latex by Helmut Kopka and Patrick...

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