knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

Overview

R for Data Science

If you are new to using R Markdown, we encourage you to start with a systematic overview, rather than diving right in to reading documentation pages. The best place to start is the "Communication" section in the book "R for Data Science" (R4DS for short), an O’Reilly book written by Hadley Wickham and Garrett Grolemund.

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



R Markdown tutorials

Tutorials

The R Markdown website offers a series of tutorials you can follow to see what is possible with R Markdown.

These tutorials offer accompanying RStudio Cloud lessons you can use right away in your browser.

You can also access links to all these tutorials in the "Get Started" section from the top of this page.



User Guide

Written by the authors of the rmarkdown package, R Markdown: The Definitive Guide provides a comprehensive user guide to the complete R Markdown ecosystem 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:



Cheatsheets

R Markdown cheatsheet

The R Markdown cheatsheet is a one page (two-sided) reference guide you can download as a quick reference while you work.

The R Markdown Reference is a five page guide that lists each of the options from markdown, knitr, and pandoc that you can use to customize your R Markdown documents.

You can access both files from within the RStudio IDE:

{js, echo=FALSE} (function() { var img, imgs = document.querySelectorAll('img'); for (var i = 0; i < imgs.length; i++) { img = imgs[i]; if (!img.src && img.dataset['uri']) img.src = img.dataset['uri']; } })();



jmcascalheira/LGMIberiaCluster documentation built on June 8, 2021, 10 a.m.