https://github.com/lter/workshop-tidyverse
LTER Scientific Computing team workshop: Coding in R's Tidyverse
https://github.com/lter/workshop-tidyverse
code-tutorials data-science education scientific-computing workshop
Last synced: 2 months ago
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LTER Scientific Computing team workshop: Coding in R's Tidyverse
- Host: GitHub
- URL: https://github.com/lter/workshop-tidyverse
- Owner: lter
- License: bsd-3-clause
- Created: 2024-08-21T19:03:36.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2024-11-19T20:12:09.000Z (6 months ago)
- Last Synced: 2025-01-22T03:14:37.462Z (4 months ago)
- Topics: code-tutorials, data-science, education, scientific-computing, workshop
- Language: SCSS
- Homepage: https://lter.github.io/workshop-tidyverse/
- Size: 5.96 MB
- Stars: 0
- Watchers: 5
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
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README
# LTER Scientific Computing Workshop - Coding in R's Tidyverse
## Repository Explanation
For teams that code using the R programming language, the most familiar tools are often part of "base R" meaning that those functions and packages come pre-loaded when R is installed. Relatively recently the Tidyverse has emerged as a comprehensive suite of packages that can complement base R or serve as an alternative for some tasks. This includes packages like `dplyr` and `tidyr` as well as the perhaps infamous pipe operator (`%>%`) among many other tools. This workshop is aimed at helping participants use the Tidyverse equivalents of fundamental data wrangling tasks that learners may be used to performing with base R.
## Acknowledgment
The development of this training material is supported through the Long Term Ecological Research Network Office (LNO) (NSF award numbers 1545288 and 1929393) and the National Center for Ecological Analysis and Synthesis (NCEAS), UC Santa Barbara.
**Citation:** Nick J Lyon, Angel Chen, and Julien Brun. 2024. Coding in the Tidyverse. LTER Network Office Scientific Computing Team.