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Statistics for Linguistics with R : A Practical Introduction / Stefan Th. Gries.

By: Material type: TextTextSeries: Mouton TextbookPublisher: Berlin ; Boston : De Gruyter Mouton, [2021]Copyright date: ©2021Edition: 3rd rev. and ext. editionDescription: 1 online resource (XVI, 496 p.)Content type:
Media type:
Carrier type:
ISBN:
  • 9783110718164
  • 9783110718294
  • 9783110718256
Subject(s): DDC classification:
  • 410.285/5362 23/eng/20230126
LOC classification:
  • P138.5 .G75 2021
Other classification:
  • online - DeGruyter
Online resources: Available additional physical forms:
  • Issued also in print.
Contents:
Frontmatter -- Statistics for Linguistics with R – Endorsements of the 3rd Edition -- Introduction -- Table of Contents -- 1 Some fundamentals of empirical research -- 2 Fundamentals of R -- 3 Descriptive statistics -- 4 Monofactorial tests -- 5 Fixed-effects regression modeling -- 6 Mixed-effects regression modeling -- 7 Tree-based approaches -- References -- About the Author
Summary: This is the third, newly revised and extended edition of this successful book (that has already been translated into three languages). Like the previous editions, it is entirely based on the programming language and environment R and is still thoroughly hands-on (with thousands of lines of heavily annotated code for all computations and plots). However, this edition has been updated based on many workshops/bootcamps taught by the author all over the world for the past few years: This edition has been didactically streamlined with regard to its exposition, it adds two new chapters – one on mixed-effects modeling, one on classification and regression trees as well as random forests – plus it features new discussion of curvature, orthogonal and other contrasts, interactions, collinearity, the effects and emmeans packages, autocorrelation/runs, some more bits on programming, writing statistical functions, and simulations, and many practical tips based on 10 years of teaching with these materials.
Holdings
Item type Current library Call number URL Status Notes Barcode
eBook eBook Biblioteca "Angelicum" Pont. Univ. S.Tommaso d'Aquino Nuvola online online - DeGruyter (Browse shelf(Opens below)) Online access Not for loan (Accesso limitato) Accesso per gli utenti autorizzati / Access for authorized users (dgr)9783110718256

Frontmatter -- Statistics for Linguistics with R – Endorsements of the 3rd Edition -- Introduction -- Table of Contents -- 1 Some fundamentals of empirical research -- 2 Fundamentals of R -- 3 Descriptive statistics -- 4 Monofactorial tests -- 5 Fixed-effects regression modeling -- 6 Mixed-effects regression modeling -- 7 Tree-based approaches -- References -- About the Author

restricted access online access with authorization star

http://purl.org/coar/access_right/c_16ec

This is the third, newly revised and extended edition of this successful book (that has already been translated into three languages). Like the previous editions, it is entirely based on the programming language and environment R and is still thoroughly hands-on (with thousands of lines of heavily annotated code for all computations and plots). However, this edition has been updated based on many workshops/bootcamps taught by the author all over the world for the past few years: This edition has been didactically streamlined with regard to its exposition, it adds two new chapters – one on mixed-effects modeling, one on classification and regression trees as well as random forests – plus it features new discussion of curvature, orthogonal and other contrasts, interactions, collinearity, the effects and emmeans packages, autocorrelation/runs, some more bits on programming, writing statistical functions, and simulations, and many practical tips based on 10 years of teaching with these materials.

Issued also in print.

Mode of access: Internet via World Wide Web.

In English.

Description based on online resource; title from PDF title page (publisher's Web site, viewed 25. Jun 2024)