Part of
Corpus Methods for Semantics: Quantitative studies in polysemy and synonymy
Edited by Dylan Glynn and Justyna A. Robinson
[Human Cognitive Processing 43] 2014
► pp. 343364
References (11)
Adler, J
(2010)  R in a nutshell: A desktop quick reference . Sebastopol: O’Reilly Media.Google Scholar
Baayen, H
(2008)  Analyzing linguistic data: A practical introduction to statistics using R . 
Cambridge: Cambridge University Press. DOI logoGoogle Scholar
Crawley, M
(2007)  The R book . Chichester: John Wiley. DOI logoGoogle Scholar
Dalgaard, P
(2008)  Introductory statistics with R (2nd ed.). Dordrecht: Springer. DOI logoGoogle Scholar
Everitt, B.S., & Hothorn, I
(2009)  A handbook of statistical analyses using R (2 nd ed.). Boca Raton: Taylor & Francis. DOI logoGoogle Scholar
Gries, St. Th
(2009)  Quantitative corpus linguistics with R: A practical introduction . London: Routeledge. DOI logoGoogle Scholar
(2012)  Statistics for linguistics with R: A practical introduction . Berlin & New York: Mouton de Gruyter.Google Scholar
Keen, K
(2010)  Graphics for statistics and data analysis with R . Boca Raton: CRC Press.Google Scholar
Johnson, K
(2008)  Quantitative methods in linguistics . Oxford: Blackwell.Google Scholar
Maindonald, J., & Braun, J
(2010)  Data analysis and graphics using R ( 3 rd ed.). Cambridge: Cambridge University Press.Google Scholar
Mittal, H.V
(2011)  R graphs cookbook . Birmingham: Packt.Google Scholar
Cited by (1)

Cited by 1 other publications

González Granado, Nicolás, Patrick Drouin & Aurélie Picton
2023. De l’analyse statistique à l’apprentissage automatique : le langage R au service de la terminologie. Éla. Études de linguistique appliquée N° 208:4  pp. 447 ff. DOI logo

This list is based on CrossRef data as of 23 june 2024. Please note that it may not be complete. Sources presented here have been supplied by the respective publishers. Any errors therein should be reported to them.