nam a22 c 4500 z.195/76015968 nljbp 241011124606.4 cr ||||||||||| 151118s2015 ne |||||||||||||||||eng|d 2015019027 9789027268457 (e-Book) nljbp eng nljbp nljbp P98.5.S83 410.285 23 CFX bicssc LAN009000 bisacsh Levshina, Natalia author How to do Linguistics with R Data exploration and statistical analysis Natalia Levshina Amsterdam ; Philadelphia : John Benjamins Publishing Company, 2015 ©2015 1 online resource (xi, 443 pp.) text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references and indexes. Introduction -- Chapter 1. What is statistics? -- Chapter 2. Introduction to R -- Chapter 3. Descriptive statistics for quantitative variables -- Chapter 4. How to explore qualitative variables -- Chapter 5. Comparing two groups -- Chapter 6. Relationships between two quantitative variables -- Chapter 7. More on frequencies and reaction times -- Chapter 8. Finding differences between several groups -- Chapter 9. Measuring associations between two categorical variables -- Chapter 10. Association measures -- Chapter 11. Geographic variation of quite: Distinctive collexeme analysis -- Chapter 12. Probabilistic multifactorial grammar and lexicology -- Chapter 13. Multinomial (polytomous) logistic regression models of three and more near synonyms -- Chapter 14. Conditional inference trees and random forests -- Chapter 15. Behavioural profiles, distance metrics and cluster analysis -- Chapter 16. Introduction to Semantic Vector Spaces -- Chapter 17. Language and space -- Chapter 18. Multidimensional analysis of register variation -- Chapter 19. Exemplars, categories, prototypes -- Chapter 20. Constructional change and motion charts -- Epilogue -- The most important R objects and basic operations with them -- Main plotting functions and graphical parameters in R 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 Provided by publisher. Cognition and language Computational & corpus linguistics Theoretical linguistics Levshina, Natalia author Hardbound version: Amsterdam ; Philadelphia : John Benjamins Publishing Company, 2015 9789027212245 Paperback version: Amsterdam ; Philadelphia : John Benjamins Publishing Company, 2015 9789027212252 DOI https://doi.org/10.1075/z.195 JB e-Platform https://www.jbe-platform.com/content/books/9789027268457