Overview of the R

Name: Overview of the R
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Chapter 1 Introduction to R | Introduction to R

A simple introduction to the R programming language.1.1 Overview R is a free and open source programming language widely used in academia, industry and government organisations for

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The R language is interpreted, meaning code is executed interactively through a command-line interface. R is a domain-specific language (DSL), facilitating statistical analysis

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R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ) and graphical techniques,

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The R programming language has become the de facto programming language for data science. Its flexibility, power,

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R is a programming language and software environment that has become the first choice for statistical computing and data analysis. Developed in the early 1990s by Ross Ihaka

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R is a well-developed, simple and effective programming language which includes conditionals, loops, user defined recursive functions and input and output facilities. R has an effective data

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R is a programming language and software environment that has become the first choice for statistical computing and data analysis.

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2 History and Overview of R | R Programming for Data Science

The R programming language has become the de facto programming language for data science. Its flexibility, power, sophistication, and expressiveness have made it an

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Overview Of R | Introduction To R | R Programming Tutorial

History of R R was created by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand, and its initial release was in 1995. The language was inspired by

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The R programming language, a vital tool for statisticians and data miners. Learn about its history, key features, and applications in statistical computing.

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The R language is interpreted, meaning code is executed interactively through a command-line interface. R is a domain-specific

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Chapter 1 Introduction to R | Introduction to R

A simple introduction to the R programming language.1.1 Overview R is a free and open source programming language widely used in academia,

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The R programming language, a vital tool for statisticians and data miners. Learn about its history, key features, and applications in

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R Manuals :: An Introduction to R

Top (An Introduction to R) Next: Preface [Contents] [Index] An Introduction to R This is an introduction to R ("GNU S"), a language and environment for statistical computing

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R is a well-developed, simple and effective programming language which includes conditionals, loops, user defined recursive functions and input

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This is an introduction to R ("GNU S"), a language and environment for statistical computing and graphics. R is similar to the award-winning 1 S system, which was developed

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View/Download Overview of the R [PDF]

PDF version includes complete article with source references. Suitable for printing and offline reading.

4 FAQs about Overview of the R

What is R language?

What is R? 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. R can be considered as a different implementation of S.

What are the important features of R?

The following are the important features of R − R is a well-developed, simple and effective programming language which includes conditionals, loops, user defined recursive functions and input and output facilities. R provides a suite of operators for calculations on arrays, lists, vectors and matrices.

What is R in statistics?

R is similar to the award-winning 1 S system, which was developed at Bell Laboratories by John Chambers et al. It provides a wide variety of statistical and graphical techniques (linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, ...).

When was R developed?

R was introduced in 1993. It was created by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand as an implementation of the S programming language. Like S, which was developed by John Chambers while he was at Bell Labs in the late 1970s, R was created to "turn ideas into software quickly and faithfully."