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Vorlesungsverzeichnis >> Fakultät Sozial- und Wirtschaftswissenschaften >> Bachelor-/Master-Studiengang Politikwissenschaft >> Master >> Politikwissenschaftliche Methoden >>
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HS: Politikwissenschaftliche Methoden III: MA/SM Introduction to R (HS: Politikwissenschaftliche Methoden III: MA/SM Introduction to R)- Dozent/in
- Dr. Florian Weiler
- Angaben
- Hauptseminar
2 SWS
Zeit und Ort: Blockveranstaltung 29.3.2016-1.4.2016 Mo-Fr, Sa, So 9:00 - 18:00, RZ/01.02; Bemerkung zu Zeit und Ort: Zeit nach Vereinbarung Blockveranstaltung 29.03.-01.04.2016
- Voraussetzungen / Organisatorisches
- Master course: Hauptseminar - Politikwissenschaftliche Methoden III
Time and date: Monday, 29 March - 1 April, 9am-16:00pm
Venue: Room RZ/01.02
Registration: MA-Students: FlexNow;
BAGSS PhDs: Please register by sending a mail to Marc Scheibner
(marc.scheibner@uni-bamberg.de).
Requirements: MA or PhD student
ECTS: 8
- Inhalt
- This workshop introduces students to many of the most commonly used features of R, an
open source program for statistical computation. R provides the user with a wide variety of
pre-programmed modeling and graphing techniques. But R is also a powerful programming
language and allows users to adjust existing functions to their needs, and to write their own
functions. This workshop intends to introduce students first to the R language, R’s object
oriented approach to statistical modeling, and the basics of writing functions, and second to
the most commonly used pre-proprammed statistical techniques.
The Introduction to R lectures in the morning will be accompanied by lab sessions in the
afternoon to provide students with a hands-on experience of the techniques covered in class.
The lab is structured to be relatively unguided, providing participants the opportunity to begin
digging into the R computing environment at their own pace. During each lab session I will
hand out exercises to be completed independently, or in collaboration with other students. I will
be at hand to answer questions and help with the almost inevitable coding problems beginners
of R are usually faced with. At the end of the course students should be able to work with R
independently
- Empfohlene Literatur
- Introductory Readings
Zuur, Alain, Elena Ieno, and Erik Meesters (2009). A Beginner’s Guide to R. Springer.
Dordrecht, Heidelberg, London, New York: Springer.
Fox, John, and Sanford Weisberg (2011). An R Companion to Applied Regression. 2nd edition,
Thousand Oaks: Sage Publications, Inc.
Muenchen, Robert A., and Joseph M. Hilbe (2010). R for Stata Users. Dordrecht, Heidelberg,
London, New York: Springer.
King, Garry, Kosuke Imai, and Olivia Lau (2008). Zelig: Everyone’s Statistical Software.
http://http://projects.iq.harvard.edu/zelig.
- Englischsprachige Informationen:
- Credits: 8
- Zusätzliche Informationen
- Erwartete Teilnehmerzahl: 20
- Institution: Professur für Empirische Politikwissenschaft
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