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)
References
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
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Cited by one other publication

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

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