This course introduces the participants to the statistical software R. Participant learn to create and process vectors, matrices and data frames, to work with R objects and classes, to fit simple linear regression models, to import and export data, and to generate R graphics.
The format of the course is a 'guided self study'. The course will start with a 45-minute lecture on some R basics. Then the participants will work through the tutorial on their own pace. Teachers are present to provide assistance where necessary. The course makes use of the excellent tutorial 'Introduction to the R Project for Statistical Computing for use at ITC' by Dr. David G. Rossiter (http://www.css.cornell.edu/faculty/dgr2/). A reader is provided that selects the most relevant parts of the tutorial. An R script is provided that contains the associated R code. Several exercises are added to the script so that the participants can practice with what they have just learned.
Everybody who is interested in learning R.
To provide an introduction to the basic R functionality (data import, export, and processing)