R (programming language) icon
R (programming language) icon

R (programming language)

R is a free software environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be consider.

R (programming language) screenshot 1

Cost / License

  • Free
  • Open Source

Platforms

  • Mac
  • Windows
  • Linux
  • BSD
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Properties

  1.  Lightweight
  2.  Customizable

Features

  1.  Data Mining
  2.  Communities
  3.  Quantitative data analysis
  4.  Data science
  5.  Automatic data loading
  6.  Support for scripting
  7.  Ad-free
  8.  Portable

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R (programming language) information

  • Developed by

    NZ flagRoss Ihaka and Robert Gentleman
  • Licensing

    Open Source and Free product.
  • Alternatives

    95 alternatives listed
  • Supported Languages

    • English

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Our users have written 2 comments and reviews about R (programming language), and it has gotten 223 likes

R (programming language) was added to AlternativeTo by PhillipNordwall on and this page was last updated . R (programming language) is sometimes referred to as R, R Language, R Project

Comments and Reviews

   
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Top Positive Comment
Samenaga
0

I like it because it's open source and has a big repository of libraries.

dimlakgorkehgz
0

Try one of the 8 GUI, dialogue instead of typing code, software before using a real IDE like R studio. Or rather run R studio then run the GUIs on top of it. They are far easier to use and guide beginners.

[Edited by dimlakgorkehgz, March 31]

[Edited by dimlakgorkehgz, March 02]

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What is R (programming language)?

R is a free software environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R.

R is a whole language with its working bundled application as specially the "de facto" standard for data analysis and data mining. Better suited for advanced users who want all the power in their hands.