What can do the R software to solve your problems?
DOI:
https://doi.org/10.22201/codeic.16076079e.2019.v20n3.a5Keywords:
R, software comparison, scientific computing, problem solving, free softwareAbstract
R is a computer tool (specifically, a computer language) extremely powerful for scientific, numerical and statistical calculations, as well as to create high quality graphics and figures. As a matter of fact, R is very popular among academics and several professionals. This is not a coincidence since R is an excellent product because, among other reasons, has no cost, is easy to operate and has a large internet-based community who contributes freely to solve R doubts and problems. The purpose of this article is to show some of the main characteristics of R, recount a brief history, point out some of its applications and comment about its relative positioning respect to other similar computer tools. Finally, we invite the reader to use R to solve his own problems.
References
Brown. C. (2009). Video: Reasons to learn the R Programming Language (duración 7:28 minutos). Recuperado de http://www.youtube.com/watch?v=W2GZFeYGU3s.
Crawley, D. (2013). The R book. John Wiley & Sons: United Kingdom. Recuperado de: https://www.cs.upc.edu/~robert/teaching/estadistica/TheRBook.pdf.
Ferguson, A. (2004). A History of Computer Programming Languages. Recuperado de: http://cs.brown.edu/~adf/programming_languages.html.
Ingeniería de Software. (2018). Lenguajes de programación más populares. Recuperado de: https://ingenieriadesoftware.es/lenguajes-programacion-populares-todos-rankings/.
La Revista Informática.com. (2006). Historia de los lenguajes de programación. Recuperado de: http://www.larevistainformatica.com/historia-lenguajes-programacion.htm.
Revolution Analytics. (2013). R: The most powerful and most widely used statistical software (duración 1:33 minutos). Recuperado de: https://www.youtube.com/watch?v=y-HOQnMsylA.
The R Project for Computing Statistics. (2019). Recuperado de: https://www.r-project.org/.
Venables, W. y Smith, D. (2000). Introducción a R: Notas sobre R: Un entorno de programación para Análisis de Datos y Gráficos. Recuperado de: http://cran.r-project.org/doc/contrib/R-intro-1.1.0-espanol.1.pdf.
Published
Issue
Section
License
Copyright (c) 2020 Revista Digital Universitaria
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Revista Digital Universitaria es editada por la Universidad Nacional Autónoma de México se distribuye bajo una Licencia Creative Commons Atribución-NoComercial 4.0 Internacional. Basada en una obra en http://revista.unam.mx/.
