spb/tools-spboucher-ai

1{2  "slug": "r",3  "name": "R",4  "aliases": ["R Project", "GNU R", "R language"],5  "vendor": { "name": "R Foundation / R Core Team", "slug": "r-foundation", "website": "https://www.r-project.org" },6  "homepage_url": "https://www.r-project.org/",7  "docs_url": "https://cran.r-project.org/manuals.html",8  "repo_url": "https://github.com/wch/r-source",9  "license_url": "https://www.r-project.org/Licenses/",10  "product_type": "language",11  "product_status": "active",12  "summary": "Language and environment for statistical computing and graphics, with the CRAN package archive and a strong base in academic statistics and econometrics",13  "description": "R is a programming language and interpreter for statistical computing and graphics, maintained by the R Core Team and supported by the R Foundation. It descends from the S language and is distributed under the GNU GPL. The base distribution includes vectors, data frames, model-fitting functions, random number generation and a graphics system; the Comprehensive R Archive Network (CRAN) adds thousands of peer-reviewed packages covering econometrics, time series, spatial statistics, bioinformatics and reporting.\n\nR is usually driven from an IDE such as RStudio or Positron, or from literate documents produced with R Markdown and Quarto, which makes it a common choice for reproducible academic papers and teaching material. Package families such as the tidyverse, data.table and fixest shape most contemporary code. Limits include single-threaded execution by default, memory-bound in-memory data frames, and a smaller footprint than Python in general-purpose programming and production web services.",14  "capabilities": ["Vectorized statistical computing and model fitting", "Publication-quality graphics (base, grid, ggplot2)", "CRAN package ecosystem with automated checks", "Literate programming through R Markdown and Quarto", "Interfaces to C, C++ (Rcpp) and Fortran"],15  "workflows": ["Estimate econometric models and export tables for a paper", "Produce reproducible reports and slides from Quarto documents", "Teach statistics with interactive scripts"],16  "advantages": ["Deep statistical and econometric package coverage", "Strong reproducible-research culture", "Free software under the GPL"],17  "limitations": ["In-memory data frames limit dataset size", "Single-threaded by default", "Less used for production services and general software"],18  "prerequisites": ["R binary from CRAN or a package manager; an IDE such as RStudio or Positron is typical"],19  "audiences": ["Statisticians and econometricians", "Academic researchers and students", "Data analysts producing reports"],20  "alternatives": ["python", "julia", "stata", "matlab"],21  "comparison_notes": "Python offers a broader general-purpose ecosystem and dominates machine learning, while R keeps an edge in classical statistics, econometrics packages and literate reporting. Stata and MATLAB are commercial environments with curated documentation and support; R is free and community-maintained, which trades vendor support for breadth and openness.",22  "categories": [{ "slug": "programming-languages", "primary": true }, { "slug": "math-stats-tools" }, { "slug": "econometrics-causal-inference" }],23  "tags": ["r", "open-source", "econometrics", "statistics", "notebooks"],24  "use_cases": ["estimate-causal-effects", "write-papers", "typeset-documents"],25  "operating_systems": ["macos", "linux", "windows"],26  "execution_modes": ["local", "self-hosted"],27  "interfaces": ["cli", "library"],28  "deployment_models": ["desktop", "on-premises"],29  "integrations": ["RStudio", "Positron", "Quarto", "CRAN", "Rcpp", "Jupyter"],30  "data_formats": ["RDS", "RData", "CSV", "Parquet (arrow)", "Feather"],31  "languages": ["R", "C", "Fortran"],32  "source_model": "open-source",33  "license_spdx": "GPL-2.0-or-later",34  "pricing_model": ["open-source", "free"],35  "self_hostable": true,36  "sources": [37    { "url": "https://www.r-project.org/", "type": "official_site", "title": "R: The R Project for Statistical Computing", "supports": ["name", "summary", "vendor"], "checked_at": "2026-11-02" },38    { "url": "https://cran.r-project.org/manuals.html", "type": "official_docs", "title": "R Manuals", "supports": ["capabilities"], "checked_at": "2026-11-02" },39    { "url": "https://www.r-project.org/Licenses/", "type": "license_page", "title": "R Licenses", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02", "note": "GPL-2 and GPL-3 texts published; R is distributed under GPL-2 or later" }40  ],41  "confidence": "high",42  "discovery_method": "editorial-research",43  "depth": "standard",44  "editorial_status": "reviewed",45  "visibility": "public",46  "featured": false,47  "author": "batch-B1"48}49