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R is a programming language for statistical computing and data visualization.It has been adopted in the fields of data mining, bioinformatics and data analysis. [9]The core R language is augmented by a large number of extension packages, containing reusable code, documentation, and sample data.
none (unique language) 1951 Sort Merge Generator: Betty Holberton: none (unique language) 1952 Short Code (for UNIVAC II) Albert B. Tonik, [2] J. R. Logan Short Code (for UNIVAC I) 1952 A-0: Grace Hopper: Short Code 1952 Glennie Autocode: Alick Glennie after Alan Turing: CPC Coding scheme 1952 Operator programming
The history of programming languages spans from documentation of early mechanical computers to modern tools for software development. Early programming languages were highly specialized, relying on mathematical notation and similarly obscure syntax . [ 1 ]
This is a "genealogy" of programming languages. Languages are categorized under the ancestor language with the strongest influence. Those ancestor languages are listed in alphabetic order. Any such categorization has a large arbitrary element, since programming languages often incorporate major ideas from multiple sources.
Wolfram Language [6] – the computer language that evolved from the program Mathematica. It has similar statistical capabilities as Mathematica. World Programming System (WPS) – statistical package that supports the use of Python, R and SAS languages within a single user program. XploRe
The Computer Language Benchmarks Game site warns against over-generalizing from benchmark data, but contains a large number of micro-benchmarks of reader-contributed code snippets, with an interface that generates various charts and tables comparing specific programming languages and types of tests. [56]
The Computer History in time and space, Graphing Project, an attempt to build a graphical image of computer history, in particular operating systems. The Computer Revolution/Timeline at Wikibooks "File:Timeline.pdf - Engineering and Technology History Wiki" (PDF). ethw.org. 2012. Archived (PDF) from the original on 2017-10-31
Gentleman worked as a statistics professor at the University of Auckland in the mid-1990s, where he developed the R programming language alongside Ross Ihaka. [5] [10] In 2001, he started work on the Bioconductor project to promote the development of open-source tools for bioinformatics and computational biology.