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R (programming language) - mklabgr - 06-22-2026
[font='Source Serif 4-4a4455f0c0723aad', 'Source Serif 4-4a4455f0c0723aad fallback: Arial', sans-serif, serif, Georgia, serif]R (programming language)[/font]
[font='Source Serif 4-4a4455f0c0723aad', 'Source Serif 4-4a4455f0c0723aad fallback: Arial', sans-serif, serif, Georgia, serif]Summary[/font]
[font='Source Serif 4-4a4455f0c0723aad', 'Source Serif 4-4a4455f0c0723aad fallback: Arial', sans-serif, serif, Georgia, serif]R is a free, open-source programming language and software environment designed mainly for statistical computing, data analysis, and visualization. Created in 1993 by Ross Ihaka and Robert Gentleman at the University of Auckland, it was inspired by the S programming language and has become a major tool in fields such as data science, bioinformatics, machine learning, and research. [/font]
[font='Source Serif 4-4a4455f0c0723aad', 'Source Serif 4-4a4455f0c0723aad fallback: Arial', sans-serif, serif, Georgia, serif]R supports multiple programming styles, including procedural, object-oriented, and functional programming, and its capabilities are greatly expanded through thousands of packages, especially the widely used tidyverse collection for data manipulation, modeling, and graphics. It runs on major platforms such as Windows, macOS, and Linux, offers powerful statistical and graphical tools, and integrates with environments like RStudio and Jupyter, making it one of the most popular languages for scientific data analysis. [/font]
[font='Source Serif 4-4a4455f0c0723aad', 'Source Serif 4-4a4455f0c0723aad fallback: Arial', sans-serif, serif, Georgia, serif]R HOME [/font]