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Vorlesungsverzeichnis >> Fakultät Geistes- und Kulturwissenschaften >>

  A beginners’ introduction to R for linguists

Dozent/in
PD Dr. Ole Schützler, Akad. Oberrat a.Z.

Angaben
Übung
1 SWS
Studium Generale
Zeit und Ort: Di 14:00 - 16:00, U2/01.36
vom 23.4.2019 bis zum 4.6.2019

Voraussetzungen / Organisatorisches
Registration:

Registration via e-mail (ole.schuetzler@uni-bamberg.de) until 25 April 2019.

Inhalt
This course is divided into two parts. The first part will be conducted in a traditional class format for the first three weeks; it focuses on
  • a basic introduction to the software environment R (and RStudio) and its programming language.
  • learning about basic issues and concepts in R (How to load data? What are objects, functions and arguments? How do we transform and manipulate data in R?)
  • learning about different kinds of variables and their characteristics in R (numerical and character vectors, factors)
  • learning about basic plot types.

The second part of the course, running for another three weeks but possibly extended beyond the six week period, will be conducted in small groups, or as sittings with individual participants, who will be asked to bring their own data and problems, and who will thus have a say in what direction this part of the class takes. Data that we will look at could include
  • completed work that has been analysed and visualized without using R (e.g. in Excel), in which case routines in Excel and R can be directly compared,
  • final theses or termpapers with a quantitative orientation, or simply
  • further exercises based on data.

The class assumes no prior knowledge of participants concerning the use of R.

Empfohlene Literatur
Gries, Stefan Th. 2013. Statistics for Linguistics with R. A Practical Introduction. Berlin: Mouton de Gruyter.
Levshina, Natalia. 2015. How to Do Linguistics with R. Data Exploration and Statistical Analysis. Amsterdam/Philadelphia: John Benjamins.
Luhmann, Maike. 2015. R für Einsteiger. Weinheim: Beltz.
R Development Core Team. 2018. R: A language and environment for statistical computing. Version 3.5.1. http://www.R-project.org.
RStudio Team. 2009–2018. RStudio: Integrated Development for R. Version 1.1.453. Boston, MA: RStudio, Inc. http://www.rstudio.com/.
Zuur, Alain F., Elena N. Ieno & Erik H. W. G. Meesters. 2009. A Beginner’s Guide to R. Dordrecht: Springer.

Institution: Lehrstuhl für Englische Sprachwissenschaft einschließlich Sprachgeschichte

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