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Created by
Andrew Siefert, last updated by Erika Louise Mudrak on Dec 03, 2024
1 minute read
R package lightning round! The plan is for everyone to give a quick (~5-minute) introduction to an R package they are excited about, including:
- The name of the package
- Description and/or quick example of what it does
- How to learn more (e.g., useful resources, vignettes, etc.)
Please use the sign-up sheet below to list the package you plan to talk about (you'll need to sign in to Confluence and click the Edit button to edit the table – email asiefert@cornell.edu to request permission to edit this space).
| Name | Package | Info |
|---|---|---|
| Andrew | performance | Evaluate model fit and assumptions https://easystats.github.io/performance/index.html |
| Tyler | waldo | Detect and describe differences between R objects and data sets with a single function: https://waldo.r-lib.org |
| Matt | patchwork | Combine multiple graph objects into a single image easily |
| Ryan | dplyr | grammar of data manipulation https://cran.r-project.org/web/packages/dplyr/vignettes/dplyr.html https://rstudio.github.io/cheatsheets/html/data-transformation.html |
| Erika | spatstat | spatial point pattern analysis https://spatstat.org/ |