R

[1] R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R.

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 S language is often the vehicle of choice for research in statistical methodology, and R provides an Open Source route to participation in that activity.

Versions

• R - 3.6.0
  • Basic information
  • Dependencies
  • Installation
  • Module
  • Additional Libraries
  • Authors
• R - 3.6.1
  • Basic information
  • Dependencies
  • Installation
  • Module
  • Additional Libraries
  • Authors
• R - 4.0.3
  • Basic information
  • Dependencies
  • Installation
  • Module
  • Additional Libraries
• R - 4.1.2
  • Basic Information
  • Dependencies
  • Installation
  • Installing R packages with conda
  • Installing R packages with R Studio Interpreter
  • Running Example
  • Resources
• R - 4.1.3
  • Basic Information
  • Dependencies
  • Installation
  • Module

Resources

Here you can find some resources such as documents, videos, tutorials that will support the use of R.

• R para Principiantes
• R Tutorials
• HOWTO: Install Local R Packages

• Packrat: a dependency management system for R

References

[1]	R Core Team (2014). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL http://www.R-project.org/.