An R package to help you unravel the mysteries of R code.
🚀 A lightweight R package with various vignettes to help you get unstuck and learn R quirks.
R is a powerful language, but it comes with plenty of surprises. rgotcha is here to help you navigate those tricky moments—whether it's an unexpected date format, a mysterious error, or an odd behavior in file writing.
This package offers a collection of bite-sized lessons ("episodes") that explain common pitfalls and how to work around them.
This package ALSO features a couple helpful functions from being in the data trenches.
view_vignette("load_data_scary.qmd", "rgotcha")
devtools::install_github("nelsonroque/rgotcha")library(rgotcha)We release weekly/monthly "episodes" covering different R gotchas!
| Episode | Topic | Description |
|---|---|---|
| PILOT | Isn't it the Same Dataset? | Weird file reading fun. |
| 1️⃣ | Quirky Date Things | Unusual date formats, time zone surprises, and how to avoid common datetime pitfalls. |
| 2️⃣ | File Writing Fun | How file paths, encodings, and permissions can trip you up when working with files. |
| 3️⃣ | Why You Hash | The role of checksums in data management. |
| 4️⃣ | Data Frames That Aren’t | When your data isn’t quite a data frame (tibbles, lists, etc.), and how to handle them. |
| 5️⃣ | NA vs. NULL vs. NaN |
Understanding the nuances between missing values, empty values, and undefined numbers. |
📌 Got an R gotcha you’d like us to cover? Open an issue and suggest a topic!
Coming Soon:
- More quirky date things
- More file writing fun
- Expanding on debugging strategies
- Common pitfalls in working with APIs
- Unexpected behavior in loops and functional programming
📢 Contributions are welcome! Found an R mystery you'd like to document? Open an issue or submit a pull request.
📜 Code of Conduct - Please be respectful and follow community guidelines.