R

R is a flexible, free and open source software with a plethora of functions. R is widely used amongst statisticians, in many other research areas and in industry. It is a dialect of the programming language S and thus related to S-PLUS.

For a detailed description of R, see the website ofexternal pageThe R Project for Statistical Computingcall_made．R is available for UNIX / Linux, Windows and Mac.

Availability at ETH Zurich

R is GNU software, and can thus be downloaded free of charge via the Internet, for instance from theETH mirrorof theexternal pageCRANcall_madenetwork.

Consulting, Courses and Relevant Lectures

Consulting

The Seminar for Statistics offers consulting services for R. Since R is the main statistical software used by the Seminar for Statistics, our consulting services are at their best when this software is involved.

Courses

We offer regular introductory courses for R in the form ofwe also offer introductory and intermediate courses for companies, for instance in-house courses.

external pageZurich R Coursescall_madeoffer a series of introductory and advanced courses on statistical data analysis with R on a regular basis.

Relevant lectures

The following lectures are focused on using R:

• Using R for Statistical Data Analysis and Graphics．Takes place each autumn semester.
  
• Applied Statistical Regression (Angewandte statistische Regression)．这节课是also taught each autumn semester. Its tutorials/exercise hours make intense use of R.
  
• Applied Analysis of Variance and Experimental Design．Takes place each autumn semester.
  
• Computational Statistics．这节课是taught each spring. The exercises are heavily focused on using R.

An introductory class in statistics is a prerequisite for the last three lectures listed above (seecourse cataloguefor more details).

Literature

A classic textbook on the S language (on which R is based) is:

• J.M. Chambers and T.J. Hastie, Statistical Models in S, Wadsworth & Brooks/Cole, 1992 (This is often called the `White book'.)
  (ETH-BIB 755 142)
  

TheCRAN network(Documentation - Manuals) refers to many other online resources, books and other documentation for R.

Hints

User Group

There are mailing lists for R users. For more information and to subscribe, seeexternal pageThe R Project for Statistical Computingcall_made(Mailing Lists). The primary mailing list is called "R-help"; it offers swift and competent answers to problems with R.

Newsletter

Since January 2001, R has had an onlineexternal page通讯call_made, which in 2009 became theexternal pageR Journalcall_made．