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]
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 » 🏁
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.
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.
RStudio Education
No one starting point will serve all beginners, but here are 6 ways to begin learning R.
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 …
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 …
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 …
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.
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.