How to cite r
Last updated: April 1, 2026
Key Facts
- R requires a specific citation format that includes the R Core Team, year, and R Foundation location
- You can generate proper citations automatically using the citation() function in R console
- Different citation styles (APA, Chicago, Harvard) require slightly different R citation formats
- Always include the specific R version number and URL in your citation for reproducibility
- Many academic journals have their own preferred format for citing statistical software like R
How to Cite R in Academic Work
R is a free, open-source statistical computing language widely used in research, data analysis, and academia. When you use R in your research or analysis, proper citation gives credit to the R Foundation and improves the reproducibility of your work. Academic integrity requires acknowledging all tools and software used in your research process.
Standard R Citation Format
The official citation for R is: R Core Team (year). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/ Replace "year" with the current or release year. Include the specific version number of R you used, which you can find by typing version in the R console. For example: "R version 4.3.2 (2023-10-31)"
Automatic Citation Generation
R makes it easy to generate proper citations automatically. Simply type citation() in the R console (without quotes), and R will return the complete citation in the default format. You can also generate citations for specific packages using citation("packagename"). This ensures accuracy and saves time when citing multiple packages in your research.
Citation Styles for Academic Papers
Different academic fields and journals prefer different citation styles. APA format for R looks like: R Core Team. (Year). R: A language and environment for statistical computing [Computer software]. https://www.R-project.org/ Chicago style includes more detailed publication information, while Harvard format follows a slightly different structure. Check your journal's guidelines or academic field standards to determine which style to use.
Citing R Packages
When using specific R packages, you should cite both R itself and the individual packages. Each package has its own citation information accessible through citation("package_name") in R. For example, if you use the ggplot2 package, cite both R Core Team and the ggplot2 package authors. This gives proper credit to package developers and helps others find the tools you used.
Reproducibility and Version Numbers
Including the R version number is crucial for reproducibility because different R versions may produce slightly different results. Readers should be able to run your analysis using the same software versions. Additionally, cite the versions of all packages you used, as they may have changed since your analysis. You can get all package versions using sessionInfo() or packageVersion("package_name").
Bibliography Entry Example
In your bibliography or reference list, a typical R citation entry looks like: "R Core Team. 2024. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/" Include this in your reference list exactly as your chosen citation style requires.
Related Questions
How do I cite Python in academic papers?
Use the format: Python Software Foundation. (Year). Python Language Reference. Retrieved from https://www.python.org/. Include the Python version number and year of release to ensure reproducibility of your research.
How do I cite specific R packages?
Type citation("package_name") in R console to get the proper citation format for that package. Include both the package authors and the package name in your bibliography along with the version number.
How do I create an APA citation for statistical software?
APA format for software includes the developer/organization, year, software name in italics, version number in brackets, and the location or URL. For R: R Core Team. (2024). R: A language and environment for statistical computing (Version 4.3.2) [Computer software].