R Packages

froggeR

froggeR is an R package designed to streamline the creation and management of Quarto projects. It provides a suite of tools to automate setup, ensure consistency, and enhance collaboration in data science workflows.

Leap ahead in your data science journey with froggeR! Streamline Quarto workflows, create structured projects, and enhance collaboration with ease. 🐸

froggeR simplifies project setup so you can focus on what matters:

  • Efficiency: Minimize setup time, maximize analysis time
  • Consistency: Uniform styling and structure across all your projects
  • Reliability: Prevent common setup issues before they occur
  • Security: Robust .gitignore settings for enhanced data protection
  • Collaboration: Structured documentation for seamless team onboarding
  • Customization: Easy-to-use tools for tailoring project aesthetics
  • Reproducibility: Ensure consistent environments across team members

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nascaR.data

nascaR.data provides historical race results from NASCAR’s top three series: Cup (1949-present), Xfinity (1982-present), and Trucks (1995-present). Explore driver, team, and manufacturer performance in a race-by-race, season, or career format. This data has been expertly curated and scraped with permission from DriverAverages.com.

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rUM

This is a collection of R things from your friends at UM (The University of Miami).

rUM includes:

  • A research project template. It creates a new RStudio project that has your choice of an analysis.qmd Quarto file or analysis.Rmd R markdown file with tidyverse and conflicted.

  • Quarto and R Markdown templates which include they YAML header and start up blocks that load the tidyverse and conflicted packages.

  • 💥 NEW in Version 2.0.0 (Overproof Rum) 💥 rUM now can make a package project that includes a paper outline as a vignette. rUM can now add an example table and figure to it’s paper shell.

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