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Course, academic year 2016/2017
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Theory of Statistical Analysis in R for Linguists - NPFL111
Title: Teoretické základy statistického vyhodnocování jazykových dat v R
Guaranteed by: Institute of Formal and Applied Linguistics (32-UFAL)
Faculty: Faculty of Mathematics and Physics
Actual: from 2016 to 2020
Semester: summer
E-Credits: 3
Hours per week, examination: summer s.:2/0, Ex [HT]
Capacity: unlimited
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: taught
Language: Czech, English
Teaching methods: full-time
Teaching methods: full-time
Guarantor: Mgr. Silvie Cinková, Ph.D.
Class: DS, matematická lingvistika
Informatika Mgr. - Matematická lingvistika
Classification: Informatics > Computer and Formal Linguistics
Annotation -
Last update: G_I (26.05.2015)
More advanced students of corpus linguistics, who have already participated in any basic corpus linguistic seminar, can use this course to deepen their competence in statistical data analysis. The course focuses on the statistical theory (in particular issues of corpus linguistics and specific distributions of language data) as well as on relevant computational skills for data analytics using R. The course requires common computer user skills (no explicit programming background).
Literature -
Last update: G_I (26.05.2015)

Baayen, H. R.: Analyzing Linguistic Data, Cambridge University Press, Cambridge 2008.

Baayen, H. R.: Word Frequency Distributions. Kluwer Academic Publishers. Dordrecht/Boston/London 2010.

Bartoň, T. - Cvrček, V. - Čermák, F. - Jelínek, T. - Petkevič, V. (2009): Statistiky češtiny. Nakladatelství Lidové

noviny, Praha 2009.

Gries, S. Th.: Quantitative Corpus Linguistics with R, Routledge 2009.

Gries, S. Th.: Statistics for Linguistics with R. A Practical Introduction. Mouton De Gruyter 2013 (2nd revised edition).

Oakes, M. P.: Statistics for Corpus Linguistics. Edinburgh University Press, Edinburgh 1998.

Volín, J. (2007): Statistické metody ve fonetickém výzkumu. Praha: Epocha.

Syllabus -
Last update: T_UFAL (13.05.2014)

1. Typical topics of corpus studies, relevance of quantitative methods in linguistics, hypothesis formulation

2. Basic functions of R:

  • file loading, writing, saving
  • functions and arguments
  • vectors, factors, lists, data frames: generation, loading, saving, editing
  • data navigation, regular expressions
  • Descriptive statistics: basic concepts and functions in R

 
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