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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. R software is open-source and free software.
The R programming language has become the de facto programming language for data science. Its flexibility, power, sophistication, and expressiveness have made it an invaluable tool for data scientists around the world. This book is about the fundamentals of R programming.
R programming language is an implementation of the S programming language. It also combines with lexical scoping semantics inspired by Scheme. Moreover, the project was conceived in 1992, with an initial version released in 1995 and a stable beta version in 2000.
John Chambers, Rick Becker, and Allan Wilks of Bell Laboratories (S was just one of several statistical languages developed at Bell) developed the language in 1975-1976 to, “turn ideas into software, quickly and faithfully.” For context, Bell Laboratories was originally part of AT&T Corp.
R is a language and 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.
Since its inception in the early 1990s, R has come a long way, becoming one of the most widely used languages in data analysis and statistical computing. Its open-source nature and extensibility have led to an ever-growing community of users contributing to its development and expansion.
As an update to this post, here's a list of the major events in R history since its creation: 1992: R development begins as a research project in Auckland, NZ by Robert Gentleman and Ross Ihaka 1993: First binary versions of R published at Statlib; 1995: R first distributed as open-source software, under GPL2 license; 1997: R core group formed
As an update to this post, here's a list of the major events in R history since its creation: 1992 : R development begins as a research project in Auckland, NZ by Robert Gentleman and Ross Ihaka 1993 : First binary versions of R published at Statlib
As an update to this post, here's a list of the major events in R history since its creation: 1992: R development begins as a research project in Auckland, NZ by Robert Gentleman and Ross Ihaka 1993: First binary versions of R published at Statlib; 1995: R first distributed as open-source software, under GPL2 license; 1997: R core group formed
The R programming language was created in 1993 by two statisticians Robert Gentleman, and Ross Ihaka at the University of Auckland, New Zealand. It has since been ported to practically every operating system and is available at r-project.org.
Over an 8-year period, the R programming language has undergone rapid expansion and directional change in function use, driven by the uptake and use of community-created extensions. These patterns of language change are evidence that despite their designed nature, programming languages can change and evolve over time.
History of R programming Language. R programming language is the extended version of the S programming language. John Chambers, the creator of the S programming language in 1976 at Bell laboratories. In 1988, the official version of the S language came into existence with the name S-PLUS. The R language is almost the unchanged version of S-PLUS.
1991: Created in New Zealand by Ross Ihaka and Robert Gentleman. Their experience developing R is documented in a 1996 JCGS paper. 1993: First announcement of R to the public. 1995: Martin Mächler convinces Ross and Robert to use the GNU General Public License to make R free software.
R released as Open-Source Software; 1993: Started as a research project (Auckland, New Zealand) Initial work announced on the s-news mailing list; Sources. Over 16 years of R Project history; Conferences; The R Project for Statistical Computing; The R Journal; R: Past and Future History; R (programming language) on Wikipedia
R was created in the early 1990s by University of Auckland statisticians Ross Ihaka and Robert Gentleman. Ihaka and Gentleman, both then statistics professors at the New Zealand university, saw what Ihaka called a “common need for a better software environment” in their computer science laboratories.
Read about R, its history, connections to other languages, and alternatives for statistical computing. You will also learn about various interfaces that can be used to edit and run R code, such as RStudio.
In the following paragraphs, we provide a brief history of R, followed by a description of the main R resources and repositories. We also provide a description of the R core idea of merging data processing, statistical analysis and graphical representations, with some graphical and written examples.
Section 1: Welcome! 1.1 — Who Should Use this Manual? (p. 1) 1.2 — Don‘t be Afraid (p. 2) 1.3 — How to Use (p. 2) Section 2: What is R? 2.1 — History (p. 5) 2.2 — Currently (p. 5) 3.1 — Download (p. 6) 3.2 — Install (p. 6) 3.3 — Configure (p. 8) 4.1 — Algebra (p. 9) 4.2 — Vectors (p. 11) 4.3 — Matrices (p. 13) 4.4 — Manipulation (p. 16)
A record of some more or less important events in the history of R. This is a work in progress. The information is cobbled together from a range of sources. If you have pertinent items to add, please let me know via the comments. useR! (Salzburg, Austria) useR! (Zurich, Switzerland) Why R? (Warsaw, Poland) useR! (St. Louis, MO, USA) useR!
R is a programming language and software environment that is used for the development of graphic data products and the computation of many forms of mathematics. The history of R goes back about 20-30 years ago. This post will look at the history of R as well as the Characteristics of this software. The History…
R is an implementation of S language. R was created by Ross Ihaka and Robert Gentleman at the university of Auckland in 1991. It’s name being inspired after the first character of its author’s...
The R programming language is approaching its 30th birthday, and in the last three decades it has achieved a prominent role in statistics, bioinformatics, and data science in general.
In the early 1950s, Alick Glennie developed Autocode, possibly the first compiled programming language, at the University of Manchester. In 1954, a second iteration of the language, known as the "Mark 1 Autocode", was developed for the Mark 1 by R. A. Brooker.
C (pronounced / ˈ s iː / – like the letter c) [6] is a general-purpose programming language.It was created in the 1970s by Dennis Ritchie and remains very widely used and influential. By design, C's features cleanly reflect the capabilities of the targeted CPUs. It has found lasting use in operating systems code (especially in kernels [7]), device drivers, and protocol stacks, but its use ...