
Analyzing Linguistic Data: A Practical Introduction to Statistics using R (English Edition)
Catégorie: Humour, Adolescents
Auteur: Baayen R.H.
Éditeur: Leil Lowndes
Publié: 2018-06-20
Écrivain: Cara Dee, George S. Clason
Langue: Albanais, Latin, Tchèque, Grec ancien, Espagnol
Format: epub, Livre audio
Auteur: Baayen R.H.
Éditeur: Leil Lowndes
Publié: 2018-06-20
Écrivain: Cara Dee, George S. Clason
Langue: Albanais, Latin, Tchèque, Grec ancien, Espagnol
Format: epub, Livre audio
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PDF Analyzing Language Data with R | A more linguistic example - (2013) Statistics for Linguistics With R: A Practical Introduction. Berlin & New York: Mouton de Gruyter. Edinburgh: Edinburgh University Press. § Dalgaard, P. (2008) Introductory Statistics with R. New York: Springer. § Baayen, R. H. (2008) Analyzing Linguistic Data: A Practical Introduction
Analyzing linguistic data : a practical introduction to statistics - A straightforward introduction to the statistical analysis of language, designed for those with a non-mathematical background. Using the leading statistics programme 'R', the reader is guided step-by-step through a range of data sets, aided by over 40 exercises with model answers.
Analyzing Linguistic Data: A Practical Introduction - Analyzing Linguistic has been added to your Cart. I'll be moving on to Quantitative Corpus Linguistics with R: A Practical Introduction to supplement my experience in text mining with a better understanding of what computational linguists do in R.
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Analyzing Linguistic Data: A Practical Introduction | Scinapse - 1. An introduction to 'R' 2. Graphic data exploration 3. Probability distributions 4. Basic statistical methods 5. Clustering and classification 6. Regression modeling 7. Mixed models Appendix A. Solutions to the exercises Appendix B. Overview of 'R' functions.
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Baayen Analyzing Linguistic Data. A Practical Introduction - New York: Cambridge University Press, 2008. — 368 p. — ISBN-13 978--511-38630-5. Statistical analysis is a useful skill for linguists and psycholinguists, allowing them to understand the quantitative structure of their data.
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