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some of its features and the major advantages offering its use in the clinical trials are showed. R is free, flexible and dynamic software with a wide variety of statistical techniques of fast incorporation and that make possible its application.

el uso de R para las investigaciones en diversas áreas de investigación clínica, y en particular para los ensayos clínicos, puede ser una opción muy tentadora.

es un entorno donde una gran variedad de técnicas estadísticas son cada día implementadas.6 R puede incorporar librerías (rutinas) que contienen, desde técnicas no tan actuales, hasta lo más reciente de las investigaciones en el área de la estadística.

La comunidad de R en el mundo es muy amplia y la integran estadísticos de gran renombre (ej. J. Chambers, L. Terney, B. Ripley, D. Bates, etc.).

s very similar in appearance to S, the underlying implementation and semantics are derived from Scheme

antics are derive

mantics are derived

It is possible for the user to interface to procedures written in the C, C++, or FORTRAN languages for efficiency.

R was initially written by Ross Ihaka and Robert Gentleman

Since mid-1997 there has been a core group (the “R Core Team”) who can modify the R source code archive. The group currently consists of Doug Bates, John Chambers, Peter Dalgaard, Robert Gentleman, Kurt Hornik, Stefano Iacus, Ross Ihaka, Friedrich Leisch, Thomas Lumley, Martin Maechler, Duncan Murdoch, Paul Murrell, Martyn Plummer, Brian Ripley, Duncan Temple Lang, Luke Tierney, and Simon Urbanek.

R is being developed for the Unix, Windows and Mac

Sources, binaries and documentation for R can be obtained via CRAN, the “Comprehensive R Archive Network” (see What is CRAN?)

How can R be installed (Macintosh) Next: How can R be installed (Windows), Previous: How can R be installed?, Up: How can R be installed?

Printed copies of the R reference manual for some version(s) are available from Network Theory Ltd, at http://www.network-theory.co.uk/R/base/. For each set of manuals sold, the publisher donates USD 10 to the R Foundation (see What is the R Foundation?).

The R distribution also comes with the following manuals. “An Introduction to R” (R-intro) includes information on data types, programming elements, statistical modeling and graphics. This document is based on the “Notes on S-Plus” by Bill Venables and David Smith. “Writing R Extensions” (R-exts) currently describes the process of creating R add-on packages, writing R documentation, R's system and foreign language interfaces, and the R API. “R Data Import/Export” (R-data) is a guide to importing and exporting data to and from R. “The R Language Definition” (R-lang), a first version of the “Kernighan & Ritchie of R”, explains evaluation, parsing, object oriented programming, computing on the language, and so forth. “R Installation and Administration” (R-admin).

It is the opinion of the R Core Team that one can use R for commercial purposes (e.g., in business or in consulting). The GPL, like all Open Source licenses, permits all and any use of the package. It only restricts distribution of R or of other programs containing code from R. This is made clear in clause 6 (“No Discrimination Against Fields of Endeavor”) of the Open Source Definition:

The name is partly based on the (first) names of the first two R authors (Robert Gentleman and Ross Ihaka),

3.3.1 Lexical scoping

Web Interfaces

5.1 Which add-on packages exist for R?

Vectors are a fundamental concept in R, as many functions operate on and return vectors,

R has lots of great functions for producing publication quality plots

R is a full programming language, and before long, you are likely to want to add your own functions

It is often also desirable to be able to output data from R in a format that can be read by other applications