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  1. The R Project for Statistical Computing

    2026年3月11日 · R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS. To download R, please choose your …

  2. Roblox

    Roblox is the ultimate virtual universe that lets you create, share experiences with friends, and be anything you can imagine. Join millions of people and discover an infinite variety of immersive …

  3. R (programming language) - Wikipedia

    R was started by professors Ross Ihaka and Robert Gentleman as a programming language to teach introductory statistics at the University of Auckland. [13]

  4. syntax - What does %>% function mean in R? - Stack Overflow

    2014年11月25日 · %>% has no builtin meaning but the user (or a package) is free to define operators of the form %whatever% in any way they like. For example, this function will return a string consisting of …

  5. r/all - Reddit

    Today's top content from hundreds of thousands of Reddit communities.

  6. Download RStudio - Posit

    Skip the games and build data science skills that stick. Posit Academy helps you learn Python or R by doing a real mentor-led data science project. The most popular coding environment for R, built with …

  7. R Tutorial - GeeksforGeeks

    2026年3月5日 · R is an interpreted programming language widely used for statistical computing, data analysis and data visualization. It is especially popular among data scientists, statisticians and …

  8. R Tutorial - W3Schools

    Learn R R is a programming language. R is often used for statistical computing and graphical presentation to analyze and visualize data. Start learning R now » 🏁

  9. What Is R Programming? Definition, Use Cases and FAQ

    2026年1月12日 · R is a free, open-source programming language tailored for data visualization and statistical analysis. Find out more about the R programming language below.

  10. R programming in one hour - a crash course for beginners

    2022年4月27日 · R programming is easy. In this video, I'll walk you though how to clean your data; how to manipulate (or wrangle) your data; how to summarize your data; how to create tables and describe …