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The programs on this page are free software dealing with the R programming language. Free and open-source software portal Pages in category "Free R (programming language) software"
This is a list of free and open-source software (FOSS) packages, computer software licensed under free software licenses and open-source licenses.Software that fits the Free Software Definition may be more appropriately called free software; the GNU project in particular objects to their works being referred to as open-source. [1]
Free software portal; The tidyverse is a collection of open source packages for the R programming language introduced by Hadley Wickham [1] and his team that "share an underlying design philosophy, grammar, and data structures" of tidy data. [2]
BASIC (Beginners' All-purpose Symbolic Instruction Code) [1] is a family of general-purpose, high-level programming languages designed for ease of use. The original version was created by John G. Kemeny and Thomas E. Kurtz at Dartmouth College in 1963.
Being a structured programming implementation of the language, it dispenses with the need for line numbers and GOTO statements, although these can still be used.. True BASIC provides statements for matrix arithmetic, a feature that had been present in Dartmouth BASIC since early times, but had been dropped in almost all microcomputer versions of BASIC interpreters.
A small piece of code in most general-purpose programming languages, this program is used to illustrate a language's basic syntax. Such program is often the first written by a student of a new programming language, [1] but such a program can also be used as a sanity check to ensure that the computer software intended to compile or run source ...
FreeBASIC is a free and open source multiplatform compiler and programming language based on BASIC licensed under the GNU GPL for Microsoft Windows, protected-mode MS-DOS (DOS extender), Linux, FreeBSD and Xbox. The Xbox version is no longer maintained.
With the release of version 0.3.0 in April 2016 [4] the use in production and research environments became more widespread. The package was reviewed several months later on the R blog The Beginner Programmer as "R provides a simple and very user friendly package named rnn for working with recurrent neural networks.", [5] which further increased usage.