R Programming Language
R is a free software environment and programming language for statistical computing and graphics, supported by the GNU. Originally developed by Ross Ihaka and Robert Gentleman at the University of Auckland in New Zealand, it is now maintained by the R Core Team.
Core Characteristics
- Syntax: Derived from the S programming language, with significant influences from Scheme and AWK.
- Data Structures: Built around atomic vectors, lists, data frames, matrices, arrays, and factors.
- Package Ecosystem: Extensible via the Comprehensive R Archive Network, hosting thousands of packages for specialized domains (e.g., ggplot2 for visualization, dplyr for data manipulation).
- Statistical Computing: Native support for linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, and clustering.
Integration & References
- Educational Resources:
- Summary Report: Harvard CS50 Introduction to R Programming (2026-05-28): Note referencing freeCodeCamp’s full university course on R. Status: Source summary generation failed (Gemini 400 error); verify external URL [https://youtu.be/g_3IKHG-rfA] for content.
See Also
- Statistics
- Data Visualization
- GNU
- S programming language