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, regression and classification trees, multidimensional scaling, cluster analysis and item response models.
Coordinator
Prof.dr. A. Mooijaart
Room 3B18
Tel.: +31 (0)71 527 3770
E-Mail: mooijaart@fsw.leidenuniv.nl
Objective(s)
To acquire knowledge of the basic principles of R
To acquire knowledge of the application of many statistical tools which are supplied by R
Literature
Everitt, B.S. and Hothorn, T. (2006). A Handbook of Statistical Analysis, using R. Boca Raton, FL: Chapman & Hall.
Examination
Graded assignments during course and 1 final 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 Additional Rules and Regulations, section 6.
Requirement(s) for application or advice
Master students of Methodology and Statistics. Course Multivariate data analysis at introductory level.
Education method(s)
Lectures and lab practices.
Enrolment
Introduction and enrolment for courses of the first semester will take place August 27th 2009. Introduction and enrollment for courses of the second semester will take place in January 2010. More information will be available at the website of the Institute of Psychology.