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1/ 📚 Advanced R Package Development: Best Practices and Tips 🛠️ Explore the process of creating, documenting, and testing your own R packages like a pro! #rstats #AdvancedR #PackageDevelopment #DataScience 
2/ 🏗️ Package Structure: Organize your package effectively by:
⚫️Using usethis::create_package() to set up the structure
⚫️Organizing functions in R/ directory
⚫️Placing data in data/ or extdata/ directories
⚫️Adding vignettes and README for documentation
#rstats #datascience
⚫️Using usethis::create_package() to set up the structure
⚫️Organizing functions in R/ directory
⚫️Placing data in data/ or extdata/ directories
⚫️Adding vignettes and README for documentation
#rstats #datascience
3/ 📝 Documentation: Make your package user-friendly by:
⚫️Writing clear, concise function descriptions
⚫️Using roxygen2 for function documentation
⚫️Creating package-level documentation with pkgdown
⚫️Writing vignettes to demonstrate usage
#rstats #datascience #AdvancedR
⚫️Writing clear, concise function descriptions
⚫️Using roxygen2 for function documentation
⚫️Creating package-level documentation with pkgdown
⚫️Writing vignettes to demonstrate usage
#rstats #datascience #AdvancedR
