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  1. R is a programming language for statistical computing and graphical presentation. This tutorial covers the basics of R, such as syntax, functions, graphs, and exercises, with examples and a quiz.

  2. www.tutorialspoint.com › rR Tutorial

    • R Tutorial
    • Audience
    • Prerequisites
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    R is a programming language and software environment for statistical analysis, graphics representation and reporting. R was created by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand, and is currently developed by the R Development Core Team. R is freely available under the GNU General Public License, and pre-compiled bin...

    This tutorial is designed for software programmers, statisticians and data miners who are looking forward for developing statistical software using R programming. If you are trying to understand the R programming language as a beginner, this tutorial will give you enough understanding on almost all the concepts of the language from where you can ta...

    Before proceeding with this tutorial, you should have a basic understanding of Computer Programming terminologies. A basic understanding of any of the programming languages will help you in understanding the R programming concepts and move fast on the learning track.

    This tutorial covers the basics of R programming language and software environment for statistical analysis, graphics and reporting. It covers topics such as data types, variables, operators, loops, functions, charts, graphs, statistics and more.

  3. This web page provides a comprehensive guide to R programming for beginners. It covers topics such as obtaining R, entering commands, data types, functions, importing data, descriptive statistics, plotting, packages, and getting help.

  4. Programiz offers step-by-step tutorials to learn R programming for data science, statistical analysis, and graphical representation. You can also find R examples, online compiler, and official documentation.

  5. For R, the basic reference is The New S Language: A Programming Environment for Data Analysis and Graphics by Richard A. Becker, John M. Chambers and Allan R. Wilks. The new features of the 1991 release of S are covered in Statistical Models in S edited by John

  6. Learn the basics of R programming language with this cheat sheet. It covers topics such as accessing help, using packages, working with vectors, operators, and more.

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  8. Learn the R programming language in this tutorial course. This is a hands-on overview of the statistical programming language R, one of the most important to...

    • 131 min
    • 4.2M
    • freeCodeCamp.org