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Learn R Markdown

Overview

R for Data Science

If you are new to using R Markdown, we encourage you to start with asystematic overview, rather than diving right in to readingdocumentation pages. The best place to start is the“Communication”section in the book “R for Data Science” (R4DS for short), anO’Reilly book written by Hadley Wickham and Garrett Grolemund.

Here are the chapters that cover R Markdown, as summarized by Hadleyand Garrett:



R Markdown tutorials

Tutorials

TheR Markdownwebsite offers a series of tutorials you can follow to see what ispossible with R Markdown.

These tutorials offer accompanyingRStudio Cloud lessons you can useright away in your browser.

You can also access links to all these tutorials in the“GetStarted” section from the top of this page.



User Guide

Written by the authors of thermarkdown package,R Markdown: The DefinitiveGuide provides a comprehensive user guide to the complete R Markdownecosystem for authoring documents. The book is published by Chapman& Hall/CRC, and you can read it online for free.

R Markdown: The Definitive Guide

The book is structured into four parts:



Going further with examples

R Markdown Cookbook

R MarkdownCookbook provides a range of examples on how to extend thefunctionality of your R Markdown documents. As a cookbook, this guide isrecommended to new and intermediate R Markdown users who desire toenhance the efficiency of using R Markdown and also explore the power ofR Markdown. The book is published by Chapman & Hall/CRC, and you canread it online for free.

This cookbook is not a full technical reference for R Markdown butaims to supplement, instead of replace, the existing literature. Thebook is thus organized by topics with example as self-contained aspossible so that readers can read this book with specific tasks in mindto do with R Markdown.

The topics are the following



Cheatsheets

R Markdown cheatsheet

TheRMarkdown cheatsheet is a one page (two-sided) reference guide youcan download as a quick reference while you work.

You can access it from within the RStudio IDE:


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