The Most Underrated R packages

The Most Underrated R packages

In this post, I’d like to show you something else. These are the results of late-night GitHub/Reddit browsing, and cool stuff shared by colleagues.

In my experience as an R user, I’ve come across a lot of different packages and curated lists. Some are in my bookmarks like the great awesome-R list, or the monthly “best of” list curated by R studio. If you don’t know them, go check them out asap.

In this post, I’d like to show you something else. These are the results of late-night GitHub/Reddit browsing, and cool stuff shared by colleagues.

Some of these packages are really unique, others are just fun to use and real underdogs among the data scientist/statistician I’ve worked with.

Let’s start!

💥Misc (the weird ones) 💥

  • BRRR** and b[eepr](https://cran.r-project.org/web/packages/beepr/index.html):** Have you ever wanted to know — and celebrate — when your simulations are finally done running in R? Have you ever been so proud of pulling off a tricky bit of code that you wanted Flavor Flav to yell “yeaaahhhh, boi!!” as soon as it successfully completes?
  • calendR:Ready to print monthly and yearly calendars made with ggplot2.
  • checkpoint: It makes it possible to install package versions from a specific date in the past as if you had a CRAN time machine.
  • DataEditR: DataEditR is a lightweight package to interactively view, enter or edit data in R.
  • Drake:It analyzes your workflow, skips steps with up-to-date results, and orchestrates the rest with optional distributed computing. In the end, drake provides evidence that your results match the underlying code and data, which increases your ability to trust your research
  • flow:Visualize as flow diagrams the logic of functions, expressions or scripts and ease debugging.

analytics data-science r statistics r-package

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