This repository contains the materials for the Atlantic Ecology Division's R (and friends) data science study group. The purpose of this group is to work together to learn new skills, languages, data science practices, etc. as they relate to our research in environmental science. The primary focus will likely be R, but the topics we cover will by no means be limited to that and other languages and tools are very much encouraged.
We will meet the first Thursday of every month from 2-4 pm. Location is TBD depending on the turnout.
This repository is public and thus anyone can access the files; however, only collaborators on the repository can add or edit files. I encourage everyone to sign up for a GitHub account, they are free and you will be able to take advantage of our issues for discussions and you can be added as a collaborator on the repository.
In order to keep the repository neat and orderly we will impose some best practices and enforce a specific structure. These practices should follow typical practices (i.e. README, LICENSE, etc.) so that if you move to repositories maintained by others, at least something should look familiar. All documentation should be written use markdown. If you are unfamiliar with markdown, the RStudio Markdown Basics will teach you all you need to know (and then some)!
| Folder/File | Description |
|---|---|
| meetings | Contains code, data, etc for each of meeting. |
| notes | General notes about the study group |
| workshop | Materials for the 1-day Intoduction to R workshop |
| README.md | This document, provides basic information |
| LICENSE.md | Creative Commons Zero Public Domain Dedication |
| CONTRIBUTING.md | Lays out best practices and expecations for contributions |
So that it is easier for us to find materials and keep things looking orderly, we will follow these rules for naming files in the notes and meetings sections:
- Only use lower case (with the exception of the files listed above).
- No spaces are allowed in file names.
- Start out the name with something descriptive followed by the date with year, month, day separated by underscore.
- Use conventions for file extensions (e.g. .md for markdown, .R for R script, .py for python etc.).
For example, gganimate_example_2016_08_11.R would be a good file name.
Any questions about the group or this repository feel free to contact @jhollist directly, or submit an issue on the repo!