Master students Psychology specialisation Methodology and Statistics.
R is a popular statistical programming environment, which provides a wide variety of statistical analysis tools, like data manipulation, model construction, simulations, and visualization. It can be used as data analysis software, but also as an effective programming language. In addition R, is available as Free Software, underlying code can be viewed and the researcher can make changes to suit his needs. Due to this open nature R is highly flexible and can easily be extended, either by adding packages or programming new functions. Therefore R contains an ever growing large collection of tools for data analysis, making it the primary tool of many researchers and a cutting edge environment for statisticians. More information about R can be found at www.r-project.org
This course will give an introduction to R, handing a toolkit of theory and practice of the environment. Making it both possible to use R in a variety of statistical analysis, and creating a base for acquiring further knowledge and skill.
To acquire knowledge about the basic principles about R, with the following key aspects:
using (new) packages
handling data formats
Introduction to R and Statistical Computing (2011-2012):
Mode of instruction
Computer lab sessions
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 blackboard.leidenuniv.nl
Manuals available from “The Comprehensive R Archive Network”
- Paradis, E. (2005). R for Beginners ( http://cran.r-project.org/doc/contrib/Paradis-rdebuts_en.pdf )
- Owen, W.J. (2010). The R Guide ( http://cran.r-project.org/doc/contrib/Owen-TheRGuide.pdf )
Material supplied during the course
Master’s introduction and enrolment day
Make a reservation in your agenda so you will not miss any information that you will need during your master’s programme MSc in Psychology. Please consult the Agenda master meetings
Prof.dr. A. Mooijaart
Tel.: +31 (0)71 527 3770