RRRRR... I'm stuck!
This is a lesson for beginner R coders in (ecological) data science. This lesson will teach how to identify and resolve problematic code by using minimal reproducible examples to ask for help from the community. While this lesson should be appropriate for all levels, it is merely a supplement and not a replacement for an intro to R lesson. As such, this lesson assumes a basic understanding of data structures, manipulation, and visualization in R. Familiarity with the tidyverse package is helpful but not required. An example of an introductory lesson that covers all pre-requisites is The Carpentries' Data Analysis and Visualization in R for Ecologists.
The website for this lesson can be found at https://kaijagahm.github.io/R-help-reprexes/.
This lesson is a template lesson that uses The Carpentries Workbench. Click on the link to learn more.
Lesson Developers and Current Maintainers:
Kaija Gahm (Lead)
Xochitl Ortiz Ross
Peter Laurin
The team of current maintainers aims to meet twice monthly to continue developing this curriculum. Please contact the lead, Kaija, if you are interested in attending these meetings.
How to contribute
Feedback is always welcome! If you wish to contribute to this lesson please see the CONTRIBUTING.md document for contributing guidelines and details on how to get involved with this project. Disclaimer: this lesson is still in its pre-alpha phase, which means we are still in the process of developing this lesson and are limiting contributions. Once our material has been more fully drafted we will welcome more feedback and collaboration. Nevertheless, please reach out if you are interested.
You can also look through the current list of issues
for ideas for contributing to this training curriculum. Not all issues will be open to contributions, but you can look for the tag 
.
This indicates that the issue does not require in-depth knowledge of the project and lesson infrastructure, and is a good opportunity for a new contributor to get involved.
This lesson is a template lesson that uses The Carpentries Workbench. Click on the link to learn more about how the page was created and how it can be edited.
The Data
This lesson uses data from the ratdat package (learn more on the CRAN page: https://cran.r-project.org/web/packages/ratdat/index.html).
Acknowledgements
The following people aided the development of this curriculum, by providing training, suggestions, reviews, and inspiration.
Our trainers:
Our first demo/focus group:
- Evan Doughty
- Madigan Durham
- Mariana Harris
- Garrett Lawson
- Maddie Zuercher
Cite this content
See CITATION.cff for citation information, including a list of authors. (Read more about the Citation File Format and how to use it.)
Contact
Please get in touch with Kaija Gahm with any questions about this lesson.