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R Language

A language and environment for statistical computing and graphics
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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
384 companies reportedly use R Language in their tech stacks, including Instacart, Delivery Hero, and Hepsiburada.

Developers
1499 developers on StackShare have stated that they use R Language.

R Language Integrations

Jupyter, Apache Zeppelin, Stan, RapidMiner, and KNIME are some of the popular tools that integrate with R Language. Here's a list of all 14 tools that integrate with R Language.
Pros of R Language
79
Data analysis
61
Graphics and data visualization
52
Free
41
Great community
37
Flexible statistical analysis toolkit
26
Access to powerful, cutting-edge analytics
25
Easy packages setup
18
Interactive
11
R Studio IDE
9
Hacky
5
Preferred Medium
5
Shiny interactive plots
5
Shiny apps
4
Automated data reports
4
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.

Maged Maged Rafaat Kamal
Shared insights
on
Python
R Language

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?

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Blog Posts

Aug 28 2019 at 3:10AM

Segment

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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.
Go
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.
See all alternatives

R Language's Followers
1528 developers follow R Language to keep up with related blogs and decisions.