What is R Language?
R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible.
R Language is a tool in the Languages category of a tech stack.
Who uses R Language?
394 companies reportedly use R Language in their tech stacks, including Instacart, Delivery Hero, and Hepsiburada.
1755 developers on StackShare have stated that they use R Language.
R Language Integrations
Jupyter, Apache Zeppelin, Stan, KNIME, and RapidMiner are some of the popular tools that integrate with R Language. Here's a list of all 19 tools that integrate with R Language.
Pros of R Language
Graphics and data visualization
Flexible statistical analysis toolkit
Easy packages setup
Access to powerful, cutting-edge analytics
R Studio IDE
Shiny interactive plots
Automated data reports
Cutting-edge machine learning straight from researchers
Decisions about R Language
Here are some stack decisions, common use cases and reviews by companies and developers who chose R Language in their tech stack.
I am currently trying to learn R Language for machine learning, I already have a good knowledge of Python. What resources would you recommend to learn from as a beginner in R?
Jun 23 2021 at 5:13PM
Aug 28 2019 at 3:10AM
Jul 13 2017 at 9:32AM
R Language Alternatives & Comparisons
What are some alternatives to R Language?
See all alternatives
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Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
Go is expressive, concise, clean, and efficient. Its concurrency mechanisms make it easy to write programs that get the most out of multicore and networked machines, while its novel type system enables flexible and modular program construction. Go compiles quickly to machine code yet has the convenience of garbage collection and the power of run-time reflection. It's a fast, statically typed, compiled language that feels like a dynamically typed, interpreted language.
It is a command-driven software package used for statistical analysis and data visualization. It is available only for Windows operating systems. It is arguably one of the most widely used statistical software packages in both industry and academia.
Rust is a systems programming language that combines strong compile-time correctness guarantees with fast performance. It improves upon the ideas of other systems languages like C++ by providing guaranteed memory safety (no crashes, no data races) and complete control over the lifecycle of memory.