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Introduction to R and Statistical Computing


Admission requirements

Master students of Methodology and Statistics. Course Multivariate data analysis at introductory level.


The program R is an integrated software environment for data manipulation, calculation and graphical display. It contains a large collection of tools for data analysis, and is freely available for everyone. Furthermore, it contains the state-of-the-art tools for statistical data. Nowadays R seems to be the primary workhorse for statistical analyses. Many statistical programs are available in the “base” environment of R, other more up to date programs are supplied as packages. These packages can be downloaded from the Internet.
In this course, the student learns the basic principles of R and how to use R in a variety of statistical analyses. Examples of such statistical analyses are: mixture models (like latent class analysis), bootstrap methods for estimating standard errors, multidimensional scaling, cluster analysis and item response models.

Course objectives

  • To acquire knowledge of the basic principles of R

  • To acquire knowledge of the application of many statistical tools which are supplied by R


Introduction to R and Statistical Computing (2010-2011):

Mode of instruction

Lectures and lab practices.

Assessment method

Graded assignments during course and 1 final take home assignment.

From January 1, 2006 the Faculty of Social Sciences has instituted the Ephorus system to be used by instructors for the systematic detection of plagiarism in students’ written work. Please see the information concerning fraud .


Information on

Reading list

Everitt, B.S. and Hothorn, T. (2006). A Handbook of Statistical Analysis, using R. Boca Raton, FL: Chapman & Hall.


Introduction and enrolment for courses of the first semester will take place on 2 September 2010. Introduction and enrolment for courses of the second semester will take place on 27 January 2011. More information will be available at the website of the Institute of Psychology.

NB: Exam registration will take place via uSis, and will be open between a month and a week before the (re)exam. Students who haven’t registered, cannot participate in the exam.

Contact information

Prof.dr. A. Mooijaart
Room 3B18
Tel.: +31 (0)71 527 3770