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?
Companies
401 companies reportedly use R Language in their tech stacks, including Instacart, Delivery Hero, and Hepsiburada.
Developers
1878 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 22 tools that integrate with R Language.
Pros of R Language
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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.
Maged Maged Rafaat Kamal
Student at Student · | 2 upvotes · 305.6K views
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?
Blog Posts
R Language Alternatives & Comparisons
What are some alternatives to R Language?
MATLAB
Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java.
Python
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.
Golang
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.
SAS
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
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.