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1. www.r-project.orgR: The R Project for Statistical Computing

   www.r-project.org

   • En caché

   29 de feb. de 2024 · R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS. To download R, please choose your preferred CRAN mirror.

2. en.wikipedia.org › wiki › R_(programming_language)R (programming language) - Wikipedia

   en.wikipedia.org › wiki › R_(programming_language)

   • En caché

   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. 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.

   • Developer: R Core Team
   • Typing discipline: Dynamic

   • Stable release: 4.3.1, / 16 June 2023; 3 months ago

3. es.wikipedia.org › wiki › R_(lenguaje_de_programación)R (lenguaje de programación) - Wikipedia, la enciclopedia libre

   es.wikipedia.org › wiki › R_(lenguaje_de_programación)

   • En caché

   R es un entorno y lenguaje de programación con un enfoque al análisis estadístico. R nació como una reimplementación de software libre del lenguaje S, adicionado con soporte para ámbito estático.

   • Apareció en: 1993

   • Extensiones comunes: .R, .rda, .Rdata

4. www.codecademy.com › learn › learn-rLearn R | Codecademy

   www.codecademy.com › learn › learn-r

   • En caché

   R is a widely used programming language that works well with data. It’s a great option for statistical analysis, and has an active development community that’s constantly releasing new packages, making R code even easier to use.

   • 4.5/5

   • Categoría: Partially Free

   • R is an open-source programming language designed for data science and statistics. It's a powerful tool for working with data, and its documentatio...
   • R was designed for statistical programming and analysis, data visualization, and machine learning.
   • Learning R can put you on the path to a career as a Data Scientist, Analyst, or Journalist. Data professionals are in high demand across industries...
   • If you want to work with data, you'll need to learn SQL, which is used to query and manage data stored in relational databases.
   • Either is a great choice. R has data visualization features built in, while you'd need to use a library like matplotlib or seaborn with Python. How...

5. www.coursera.org › learn › r-programmingR Programming Course by Johns Hopkins University | Coursera

   www.coursera.org › learn › r-programming

   • En caché

   In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language.