R (programming language)
R is a
- powerful, free and open source, cross-platform, statistical and graphing software package;
- programming language;
- software environment for statistical computing.
Downloading R[edit | edit source]
Visit the R Project home page.
Integrated development environments for R[edit | edit source]
R can be accessed from a command-line interface. There are a variety of graphical user interfaces that work well with R, including one that ships with it.
RStudio is a very popular integrated development environment that works well with R and other languages, as does Jupyter.[1][2]
RStudio supports RMarkdown, which makes it relatively easy for researchers to make their work reproducible by allowing them to mix text with code of different languages, most commonly R, in the same document. The platform supports mixing R with Python (programming language), shell scripts, SQL, Stan (software), JavaScript, CSS, Julia (programming language), C (programming language), Fortran, and other languages in the same RMarkdown document.[3] Jupyter notebooks provide a similar capability but may be more popular among Python users while RStudio may be more popular among people primarily using R.
Both RStudio and Jupyter are free and open-source software, but RStudio is developed and maintained by a commercial enterprise that offers paid support options.
RStudio in the cloud[edit | edit source]
There are web-based portals for RStudio, including the following:
Tutorials[edit | edit source]
Books that are Helpful When Learning R[edit | edit source]
- An R Companion for Applied Regression (2nd ed.) - ISBN 141297514X
- Introductory Statistics with R
- Using R for Data Analysis and Graphics: Introduction, Code and Commentary, by J. H. Maindonald (PDF)
- An Introduction to R, by W. N. Venables, D. M. Smith, and the R Development Core Team (PDF)
- R in Action - ISBN 1935182390
- Efficient programming in R [6].
- Advanced R by Hadley Wickham
See also[edit | edit source]
- Wikipedia: R (programming language)
- Wikibooks:R Programming
- Searching R Packages: A discussion of current search capabilities, inviting readers to help draft a proposal for improvements that might be funded, e.g., by the R Foundation.
External links[edit | edit source]
- R (Official site)
- R archive (Manuals, downloads, etc.)
- R wiki
- R mailing lists - R-help - R-teaching - Posting guide
- Using R for psychological research: A simple guide to an elegant package
- Guide to R for Analysts
- Programming R
- R Bloggers
- R Tutorial
Books[edit | edit source]
- Books on R and S - list
- Shravan Vasishth and Michael Broe - The foundations of statistics: A simulation-based approach - draft
- Benjamin M. Bolker - Ecological Models and Data in R
- R Development Core Team - R Language Definition - (aka `R Language Manual'), the basics of R, draft, 60 pages
- R manuals, tutorials and samples - fairly large number of documentation available/downloadable for free, also non-English learning materials
- ↑ "7 of the Best Free Graphical User Interfaces for R". linuxlinks.com. Retrieved 9 February 2016.
- ↑ "List of R Editors". r-dir. Retrieved 2018-08-07.
- ↑ Yihui Xie; Joseph J. Allaire; Garrett Grolemund (2019), R Markdown: The Definitive Guide, Chapman and Hall London, Wikidata Q76441281.
- ↑ RStudio Cloud, Wikidata Q100799903.
- ↑ RStudio Server Pro for AWS, Wikidata Q100800280.
- ↑ "Speeding Up Ecological and Evolutionary Computations in R; Essentials of High Performance Computing for Biologists". PLOS Computational Biology 11 (3): e1004140. 2015. doi:10.1371/journal.pcbi.1004140. ISSN 1553-7358.