https://github.com/eddelbuettel/pl-r-demos
Demo Questions for the R Autograder for PrairieLearn
https://github.com/eddelbuettel/pl-r-demos
autograder demos prairielearn r
Last synced: 7 months ago
JSON representation
Demo Questions for the R Autograder for PrairieLearn
- Host: GitHub
- URL: https://github.com/eddelbuettel/pl-r-demos
- Owner: eddelbuettel
- Created: 2021-08-25T02:07:08.000Z (about 4 years ago)
- Default Branch: master
- Last Pushed: 2022-11-21T21:56:48.000Z (almost 3 years ago)
- Last Synced: 2025-01-16T02:53:07.517Z (9 months ago)
- Topics: autograder, demos, prairielearn, r
- Language: R
- Homepage:
- Size: 124 KB
- Stars: 1
- Watchers: 7
- Forks: 1
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
## Demo Questions for the R Autograder for PrairieLearn
### R Demos
This repository is derived from the [pl-template](https://github.com/PrairieLearn/pl-template) repo,
and still contains its _Gallery_ of (Python-based) questions. But it also adds a number of
_reference questions_ for the [R Autograder](https://github.com/stat447/rocker-pl) used by [STAT 430
'DSPM'](https://stat430.com) (2018-2020) and now by [STAT 447](https://stat447.com) as well as other
courses.
The main reason for this repository is to highlight the mechanics of the autograder and it simple
test scripts to assess questions. It aims to demonstrate a few key features---but it not meant to
be a library of exam questions (which we would not want to be in a globally readable repository
anyway as our students are a little too inquisitive for that...)
The remainder of the PL docs follow. We will adjust this as needed going forward.
### Welcome to PrairieLearn!
The content for your course is stored within this repository.
You can see and edit a live version at .
### Reference Guide
[](https://coatless.github.io/pl-cheatsheets/pdfs/prairielearn-authoring-cheatsheet.pdf)
### Getting help
Need help understanding an error or creating content? Check out one of the following resources:
1. Real-time help assistance on PrairieLearn's [Slack `#pl-help` channel](https://prairielearn.slack.com).
1. Looking up the question on our [Frequently Asked Question (FAQ) page](https://prairielearn.readthedocs.io/en/latest/faq/).
1. Attend an in-person or virtual office hours, which are announced at the start of the
semester on PrairieLearn's [Slack](https://prairielearn.slack.com) and [e-mail listserv](https://lists.illinois.edu/lists/info/prairielearn-announce).