26.5374, Books: How to do Linguistics with R: Levshina

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LINGUIST List: Vol-26-5374. Wed Dec 02 2015. ISSN: 1069 - 4875.

Subject: 26.5374, Books: How to do Linguistics with R: Levshina

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Date: Wed, 02 Dec 2015 17:24:49
From: Karin Plijnaar [karin.plijnaar at benjamins.nl]
Subject: How to do Linguistics with R: Levshina

 Title: How to do Linguistics with R 
Subtitle: Data exploration and statistical analysis 
Publication Year: 2015 
Publisher: John Benjamins
	   http://www.benjamins.com/
	

Book URL: https://benjamins.com/catalog/z.195 


Author: Natalia Levshina

Electronic: ISBN:  9789027268457 Pages:  Price: U.S. $ 54.00
Electronic: ISBN:  9789027268457 Pages:  Price: U.K. £ 30.00
Electronic: ISBN:  9789027268457 Pages:  Price: Europe EURO 36.00
Hardback: ISBN:  9789027212245 Pages:  Price: Europe EURO 111.30
Hardback: ISBN:  9789027212245 Pages:  Price: U.S. $ 158.00
Hardback: ISBN:  9789027212245 Pages:  Price: U.K. £ 88.00
Paperback: ISBN:  9789027212252 Pages:  Price: U.K. £ 30.00
Paperback: ISBN:  9789027212252 Pages:  Price: Europe EURO 38.16
Paperback: ISBN:  9789027212252 Pages:  Price: U.S. $ 54.00


Abstract:

This book provides a linguist with a statistical toolkit for exploration and analysis of linguistic data. It employs R, a free software environment for statistical computing, which is increasingly popular among linguists. How to do Linguistics with R: Data exploration and statistical analysis is unique in its scope, as it covers a wide range of classical and cutting-edge statistical methods, including different flavours of regression analysis and ANOVA, random forests and conditional inference trees, as well as specific linguistic approaches, among which are Behavioural Profiles, Vector Space Models and various measures of association between words and constructions. The statistical topics are presented comprehensively, but without too much technical detail, and illustrated with linguistic case studies that answer non-trivial research questions. The book also demonstrates how to visualize linguistic data with the help of attractive informative graphs, including the popular ggplot2 sy
 stem and Google visualization tools.

This book has a companion website: http://doi.org/10.1075/z.195.website 



Linguistic Field(s): Computational Linguistics
                     General Linguistics


Written In: English  (eng)

See this book announcement on our website: 
http://linguistlist.org/pubs/books/get-book.cfm?BookID=95173

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