2025年2月28日 · The R Project for Statistical Computing Getting Started. R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS. To download R, please choose your preferred CRAN mirror.

stat.anova: GLM ANOVA Statistics: stats: The R Stats Package: stats-deprecated: Deprecated Functions in Package 'stats' step: Choose a model by AIC in a Stepwise Algorithm: stepfun: Step Functions - Creation and Class: stl: Seasonal Decomposition of Time Series by Loess: str.dendrogram: General Tree Structures: StructTS: Fit Structural Time ...

R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, …) and graphical techniques, and is highly extensible.

The packages listed here implement standard statistical functionality, for ex- ample linear models, classical tests, a huge collection of high-level plotting functions or tools for survival analysis; many of these will be described and

This package contains functions for statistical calculations and random number generation. For a complete list of functions, use library(help = "stats") . Author(s)

Download R-4.4.3 for Windows (85 megabytes, 64 bit) README on the Windows binary distribution; New features in this version

2025年2月28日 · R is ‘GNU S’, a freely available language and environment for statistical computing and graphics which provides a wide variety of statistical and graphical techniques: linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, etc.

There are now a number of books which describe how to use R for data analysis and statistics, and documentation for S/S-Plus can typically be used with R, keeping the differences between the S implementations in mind.

A list of books and other publications related to R. The Journal of Statistical Software features R-related articles like package guides on a regular basis. Proceedings from the International Workshops on Distributed Statistical Computing. Smaller Collections and Single Documents

The help() function and ? help operator in R provide access to the documentation pages for R functions, data sets, and other objects, both for packages in the standard R distribution and for contributed packages.