R Markdown on Lessons & Readings

Lesson 2: Single Page R Markdown 📃 Document

Tue, 21 Apr 2020 21:13:14 -0500

Here is the link to the Practicals Page for Lesson 2. I will add new assignments every day or so to help you create a single page document. For now you can find the raw .Rmd file on GitHub. The link is in the title of the Practicals Page.

R Markdown is a versatile framework for creating a range of high-quality documents including HTML, PDF, presentations, books, websites, and more. Markdown allows documents to be simple and portable while R integration gives you the benefit of creating dynamic documents that contain your results (e.g., tables, graphics, and inline values). Results can be computed and rendered dynamically from R code and are more likely to be reproducible.

Course Topics

Sat, 04 Apr 2020 02:13:50 +0000

This page contains an outline of topics we will cover in this course and will updated often. As always, suggestions are welcome.

Please continue to work on your skills in CSS, HTML, and CLI. See the Self-Paced Tutorials for more information.

Lesson	Topic	Skills
L0	R Markdown example
L1	Setup	IDE, Dev Tools, GitHub, RStudio
L1	Problem Solving	Web search, GitHub, StackOverflow
L2	R Markdown Page	YAML, Markdown, R Code chunks, inline R Code
L2	R Markdown Page	Tables, Figures
L3	GitHub	Submitting Issues & Requests, Pull Requests
L3	Git & GitHub	Git from the CLI, Creating & cloning a Repo, Push changes
L4	Customization	CSS style sheets, inline HTML code
L4	R Markdown Site	Take what you’ve learned and make a site
	Archiving Data	Figshare

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Lesson 0: An Example R Markdown Document

Sat, 28 Mar 2020 21:13:14 -0500

In this mini lesson I’d like to demonstrate a) some Markdown syntax, b) how you run and format R code, and c) how to render R figures. If you read the Course Description you have already seen examples of embedded tables. Remember, our primary goal is to create R Markdown documents that capture code, data, and data products.

R Markdown integrates the concepts of literate programming and reproducible research, which, in addition to explaining or documenting itself, also allows others (including an original investigator) to reproduce a data analysis or other research result.

Resources

Sat, 28 Mar 2020 02:13:50 +0000

This page is a work in progress and will be updated on the fly.

Pictoral Table of Contents.

R Markdown

R Markdown: The Definitive Guide. Title says it all. You should use this. A lot.

R Markdown Cookbook. Another must have.
RStudio IDE Cheatsheet. An overview of the RStudio IDE.
R Markdown Cheatsheet. A general R Markdown reference.
Another R Markdown Cheatsheet. One more? There are a lot of cheatsheets.
R Markdown Reference Guide. Good section on Chunk Options.

R

Run R in your browser. Write, run, and test R code.

Markdown

There are many similarities with the R Markdown references above.