How to Do Linguistics With R: Data Exploration and Statistical Analysis von Levshina, Natalia: Brand New Paperback (2015)

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444 pages. 8.43x5.85x0.73 inches. In Stock.

Bestandsnummer des Verk�ufers __9027212252

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Bibliografische Details

Titel: How to Do Linguistics With R: Data Exploration and Statistical Analysis
Verlag: John Benjamins Pub Co
Erscheinungsjahr: 2015
Sprache: Englisch
ISBN-10: 9027212252
ISBN-13: 9789027212252
Einband: Paperback
Zustand: Brand New

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Inhaltsangabe

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 system and Google visualization tools.
This book has a companion website: http://doi.org/10.1075/z.195.website

Rese�a del editor

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 system and Google visualization tools.
This book has a companion website: http://doi.org/10.1075/z.195.website

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