Switch to Bing in English
約 35,300,000 件の結果
リンクを新しいタブで開く
  1. 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]

  2. 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 » 🏁

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

    2025年9月11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.

  4. LEARN R [Introduction, Data Structures, Data ... - R CODER

    This course is a set of tutorials sorted by category in which you will learn all the basics (and some more advanced content) to handle the R programming language.

  5. RStudio Education

    No one starting point will serve all beginners, but here are 6 ways to begin learning R.

  6. Learn R - Online R Programming Tutorial

    If you want to learn R for statistics, data science or business analytics, either you are new to programming or an experienced programmer this tutorial will help you to learn the R Programming …

  7. R - Wiktionary, the free dictionary

    2026年1月3日 · R Abbreviation of ronna-. (currency symbol) Rand, national currency of South Africa. (metrology) Roentgen. (physics) Resistance (in electricity). (organic chemistry) An unspecified …

  8. Reddit Inc Homepage

    2025年9月30日 · The heart of the internet Reddit is home to thousands of communities, endless conversation, and authentic human connection. Whether you're into breaking news, sports, TV fan …

  9. R - Wikipedia

    R, or r, is the eighteenth letter of the Latin alphabet, used in the modern English alphabet, the alphabets of other western European languages and others worldwide.

  10. The Comprehensive R Archive Network

    2025年10月31日 · R is ‘GNU S’, a freely available language and environment for statistical computing and graphics which provides a wide variety of statistical and graphical techniques: linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, etc.