introduction
Last updated on 2024-11-19 | Edit this page
Overview
Questions
- How do you write a lesson using R Markdown and sandpaper?
Objectives
- Explain how to use markdown with the new lesson template
- Demonstrate how to include pieces of code, figures, and nested challenge blocks
Introduction
This is a lesson created via The Carpentries Workbench. It is written
in Pandoc-flavored Markdown
for static files (with extension .md
) and R Markdown for dynamic files
that can render code into output (with extension .Rmd
).
Please refer to the Introduction to The
Carpentries Workbench for full documentation.
What you need to know is that there are three sections required for a valid Carpentries lesson template:
-
questions
are displayed at the beginning of the episode to prime the learner for the content. -
objectives
are the learning objectives for an episode displayed with the questions. -
keypoints
are displayed at the end of the episode to reinforce the objectives.
Challenge 1: Can you do it?
What is the output of this command?
R
paste("This", "new", "lesson", "looks", "good")
OUTPUT
[1] "This new lesson looks good"
Challenge 2: how do you nest solutions within challenge blocks?
You can add a line with at least three colons and a
solution
tag.
Figures
You can include figures generated from R Markdown:
R
pie(
c(Sky = 78, "Sunny side of pyramid" = 17, "Shady side of pyramid" = 5),
init.angle = 315,
col = c("deepskyblue", "yellow", "yellow3"),
border = FALSE
)
Or you can use pandoc markdown for static figures with the following syntax:
![optional caption that appears below the figure](figure url){alt='alt text for accessibility purposes'}
Math
One of our episodes contains \(\LaTeX\) equations when describing how to create dynamic reports with {knitr}, so we now use mathjax to describe this:
$\alpha = \dfrac{1}{(1 - \beta)^2}$
becomes: \(\alpha = \dfrac{1}{(1 - \beta)^2}\)
Cool, right?
Key Points
- Use
.md
files for episodes when you want static content - Use
.Rmd
files for episodes when you need to generate output - Run
sandpaper::check_lesson()
to identify any issues with your lesson - Run
sandpaper::build_lesson()
to preview your lesson locally