R (programming language)
Programming language for statistical analysis
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Ultra Rare · Literature
R (programming language)
Programming language for statistical analysis
R is a programming language for statistical computing and data visualization. It has been widely adopted in the fields of data mining, bioinformatics, data analysis, and data science. The core R language is extended by a large number of software packages, which contain reusable code, documentation, and sample data.
Last price
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Floor price
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7-day median
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30-day sales
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30-day range
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In circulation
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Price history
median
low – high
sales
No sales in this period
Show table
| Date | median | Low | High | sales |
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Sales history
- Last sale
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- 30-day average
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- 30-day low
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- Sales 7d
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- Sales 30d
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No sales yet.
Anonymous sales: no buyer or seller shown. Figures count player-to-player sales only.
From Wikipedia
R is a programming language for statistical computing and data visualization. It has been widely adopted in the fields of data mining, bioinformatics, data analysis, and data science. The core R language is extended by a large number of software packages, which contain reusable code, documentation, and sample data. Some of the most popular R packages are in the tidyverse collection, which enhances functionality for visualizing, transforming, and modelling data, as well as improves the ease of programming (according to the authors and users). R is free and open-source software distributed under the GNU General Public License. The language is implemented primarily in C, Fortran, and R itself. Precompiled executables are available for the major operating systems (including Linux, MacOS, and Microsoft Windows). Its core is an interpreted language with a native command line interface. In addition, multiple third-party applications are available as graphical user interfaces; such applications include RStudio (an integrated development environment), Jupyter (a notebook interface), as well as Termux and Google Colab for mobile devices.
Text: Wikipédia, CC BY-SA 4.0. · Image: The R Foundation (CC BY-SA 4.0) ·