🎉🚀 Introducing 🚀🎉 Discover & Explore R Packages, Functions, and Datasets like never before! 🌟 ✨ 20k+ Packages ✨ 400k+ Functions ✨ 40k+ Datasets The ultimate resource for R developers! 📊🔍 🔗 #RStats

R Inferno: Old but gold! 📚🔥 A must-read for anyone serious about mastering R. Despite being a bit outdated, it’s filled with insightful tips for R users. Still relevant and worth a look for both beginners and experts! 🔗 #RStats #DataScience #RInferno

Need to automate Word documents and PowerPoint presentations in R? 📄📊 The {officer} package lets you create, edit, and format .docx and .pptx files directly from R—no manual work needed! 🚀 🔗 #RStats #DataScience #Automation

🚨 Be careful with the round() function in R! 🚨 It follows the "round-to-even" rule. For example: round(2.5) and round(1.5) return 2, round(3.5) and round(4.5) return 4. Always double-check how it rounds to avoid surprises in your calculations 🔍 #RStats #DataScience #R

🎉 Explore the "R Graphics Cookbook" by @winston_chang and master data visualization like a pro! 🚀 📊📈 Free & online! 🔗 #DataScience #RStats #DataViz 🚀

Hidden gem in RStudio 🤯 Did you know you can use rstudioapi::navigateToFile() to programmatically open any file in your project from the R console? 🖥️ This is super handy for quickly jumping between scripts or files without the hassle! #RStats #DataScience #Productivity

🚀 Did you know? In RStudio, you can run multiple cursors like in VS Code! Just press Ctrl + Alt + Up/Down (Windows/Linux) or Cmd + Option + Up/Down (Mac) to edit multiple lines at once. 🔥 Perfect for refactoring code or editing data frames quickly!

Have you checked out 🤩 A CRAN-like website with full documentation for ALL R packages, functions, and datasets! 📦🔍 A game-changer for R users! #rstats #DataScience

🔥 Did you know? RStudio (now Posit) has a built-in Job Launcher that lets you run background tasks without freezing your session! 🚀

@jcmoravec Yes! For R Studio, my apologies

A bad plot can kill a great analysis. Use these 3 ggplot2 tricks to make your charts pop: 🎨 1️⃣ Select a theme based on where you will publish the chart 2️⃣ Choose the right color scale 3️⃣ Label your axes properly! #DataViz

[Trending #rstats Package] 📦{FuzzyImputationTest} 👉 Imputation Procedures and Quality Tests for Fuzzy Data 🔗

{ggResidpanel}: R package for creating panels of diagnostic plots for a model using ggplot2 and interactive versions of the plots using plotly 📈📊 🔗

🚨 Essential R Functions for User Notifications 🚨 Need to alert users about key events in your code? ℹ️ message(): Deliver non-critical info ⚠️ warning(): Flag potential issues but let the code continue 🛑 stop(): Halt execution for critical errors 🔗

[8/8]: 🔗 Resources: Whether you're a beginner or advanced, learning Time Series in R is a must for any data scientist! Start with the forecast package documentation and Time Series Analysis with R books! #RStats #DataScience #TimeSeries