r/facts: Post all your fun, random, interesting, and unbelievable facts here! They can be about anything but please make sure to read the rules.

2023年2月9日 · Here are some interesting facts about the R programming language: R programming language is an implementation of the S programming language. It also combines with lexical scoping semantics inspired by Scheme. It is named partly after the first names of the first two R authors and partly as a play on the name of S.

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R consists of a language plus a run-time environment with graphics, a debugger, access to certain system functions, and the ability to run programs stored in script files. The core of R is an interpreted computer language which allows branching and looping as well as modular programming using functions.

2024年5月26日 · In this article, we explore the features, benefits, and applications of the R Programming Language, shedding light on why it has become an indispensable asset for data-driven professionals across various industries. R programming language is an implementation of the S programming language.

2025年1月10日 · Discover 19 essential R language facts, perfect for beginners, covering R programming, data analysis, and statistical computing, with insights into R Studio, packages, and libraries.

R is a programming language and free software environment for statistics. R is a language built for a specific purpose. It is strictly designed for statistical analysis. The algorithms for many statistical models are devised in R. Precisely R is the language of Statistical Analyzers.

📊 R is widely used for data analysis and statistical computing. 📈 R provides excellent support for creating high-quality graphs and plots. 🛠️ R has a rich ecosystem of packages available through CRAN, Bioconductor, and GitHub. 💡 R is open-source and free to use, making it accessible for anyone interested in data science.

R is a programming language and free software environment for statistics. R is a language built for a specific purpose. It is strictly designed for statistical analysis. The algorithms for many statistical models are devised in R. Precisely R is the language of Statistical Analyzers.