R Statistical Computing Language

R is a free open-source programming language and software environment for statistical computing, data analysis, and graphics. Created by Ross Ihaka and Robert Gentleman at the University of Auckland in 1993, R is maintained by the R Foundation with over 2 million users worldwide. Key features: comprehensive statistical methods including linear and nonlinear modeling, classical tests, time-series analysis, classification, clustering, survival analysis, and Bayesian inference. Data frames, vectors, matrices with powerful subsetting via dplyr, tidyr, and data.table. Publication-quality plots with base graphics, lattice, and ggplot2 based on Grammar of Graphics. CRAN (Comprehensive R Archive Network) with over 20,000 contributed packages covering statistics, ML, bioinformatics, finance, and ecology. R Markdown combining R code with Markdown for reproducible reports and scientific articles. Shiny for interactive web applications built entirely in R. Bioconductor repository with over 2,200 packages for genomics and bioinformatics. RStudio IDE with code completion, debugging, plotting, and package management. Integration with C, C++, Fortran via Rcpp for performance-critical computations. S3, S4, and R6 object systems for complex data structures. Native time series objects plus specialized packages for ARIMA, GARCH, and spectral analysis.