Description
Data in Excel gets you as far as a regression — then clustering, time series and proper modelling mean buying SPSS or writing code.
R is a language and environment built specifically for statistical computing and graphics, a GNU project, free and open source. Linear and nonlinear modelling, classical tests, time series, classification and clustering are all built in, and CRAN adds over twenty thousand packages across every field. Its plots are publication-ready out of the box, formulas and mathematical symbols included.
The Windows build comes from CRAN as an 87 MB installer with a basic GUI console; most people pair it with RStudio or VS Code.
Statistical modelling: linear, generalised linear and nonlinear models, ANOVA, and every standard hypothesis test.
Data handling: vectorised operations, data frames, factors, with data.table and dplyr for large tables.
Graphics: the base graphics system plus packages like ggplot2 for publication-quality static and interactive plots.
Package ecosystem: over twenty thousand CRAN packages, and Bioconductor for bioinformatics.
Interoperability: call C, C++, Fortran or Python where performance matters.
Cross-platform: official builds for Windows, macOS and Linux distributions.
R is a language and environment built specifically for statistical computing and graphics, a GNU project, free and open source. Linear and nonlinear modelling, classical tests, time series, classification and clustering are all built in, and CRAN adds over twenty thousand packages across every field. Its plots are publication-ready out of the box, formulas and mathematical symbols included.
The Windows build comes from CRAN as an 87 MB installer with a basic GUI console; most people pair it with RStudio or VS Code.
Features
Statistical modelling: linear, generalised linear and nonlinear models, ANOVA, and every standard hypothesis test.
Data handling: vectorised operations, data frames, factors, with data.table and dplyr for large tables.
Graphics: the base graphics system plus packages like ggplot2 for publication-quality static and interactive plots.
Package ecosystem: over twenty thousand CRAN packages, and Bioconductor for bioinformatics.
Interoperability: call C, C++, Fortran or Python where performance matters.
Cross-platform: official builds for Windows, macOS and Linux distributions.
