Workshops: Course information

  Introduction to statistical programming in R

Speakers: Dr. Ivailo Partchev

Winter term 2009/2010, Workshop, Course length: 9.00 hours, Language: English, Topic: Introduction and Statistics with R

R is both a powerful computing language suitable for statistical applications, and a platform providing access to an immense collection of community-developed statistical software.

The first day of this 1,5 day workshop will provide an introduction to R accessible to beginners, but focused on selected aspects of the language. Compared to my earlier workshop (available on video), I will place more emphasis on programming issues, with examples drawn mainly from Monte-Carlo and bootstrap simulations.

The remainder of the workshop will give a very short introduction to R facilities for analysing categorical data: producing tables of counts and percentages, visualizing categorical data, fitting log-linear and marginal models.

In order to view the videos, you need the VLC media player which you can download here. The videos are hosted at the Digitale Bibliothek Thüringen (dbt). The green linked videos and materials are for free. Click the green link to watch the video or download the file! In order to access all materials and videos, you need to log in.

Videos

Material

• Setup R Ver. 2.10.0 for Windows

• Setup Tinn-R editor Ver. 1.19.4.7 for Windows
• Setup Tinn-R editor Ver. 2.3.3.1 for Windows

• An Introduction to R: Software for Statistical Modelling & Computing, by Petra Kuhnert and Bill Venables.
• R Scripts to Kuhnert & Venables
• Datasets to Kuhnert und Venables

• R Referecence Card, by Tom Short.
• R for Beginners by Emmanuel Paradis.
• Introduction to the R Project for Statistical Computing for use at ITC, by D. G. Rossiter.
• S Poetry, by Patrick J. Burns.
• simpleR - Using R for Introductory Statistics, by John Verzani.
• Creating R Packages: A Tutorial, by Friedrich Leisch.

• Recommendation for books

• Dataset of the workshop