Difference between revisions of "Software:R"

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== R ==
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== Introduction ==
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R is a language and environment for statistical computing and graphics. It provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible. It includes an effective data handling and storage facility, a suite of operators for calculations on arrays, in particular matrices, a large, coherent, integrated collection of intermediate tools for data analysis,
 
R is a language and environment for statistical computing and graphics. It provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible. It includes an effective data handling and storage facility, a suite of operators for calculations on arrays, in particular matrices, a large, coherent, integrated collection of intermediate tools for data analysis,
 
graphical facilities for data analysis and display either on-screen or on hardcopy, and a well-developed, simple and effective programming language which includes conditionals, loops, user-defined recursive functions and input and output facilities.
 
graphical facilities for data analysis and display either on-screen or on hardcopy, and a well-developed, simple and effective programming language which includes conditionals, loops, user-defined recursive functions and input and output facilities.
* '''Version''': 3.1.1
 
* '''Location''':  /usr/bin
 
* '''Related link''': For more information go to the [http://www.r-project.org/ R project web site]
 
* '''Help File''': [[HowTo:R|R Help file]]
 
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* '''Related Software''':
 
** [[Software:ics|Intel Compiler Suite]]
 
** [[Software:gcc|Gnu Compilers]]
 
** [[Software:paraview|ParaView]]
 
** [[Software:petsc|PETSc]]
 
** [[Software:hypre|Hypre]]
 
** [[Software:matlab|Matlab]]
 
** [[Software:fftw|FFTW]]
 

Revision as of 19:38, 22 March 2022

Introduction

R is a language and environment for statistical computing and graphics. It provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible. It includes an effective data handling and storage facility, a suite of operators for calculations on arrays, in particular matrices, a large, coherent, integrated collection of intermediate tools for data analysis, graphical facilities for data analysis and display either on-screen or on hardcopy, and a well-developed, simple and effective programming language which includes conditionals, loops, user-defined recursive functions and input and output facilities.