Statistics for Linguistics with R
A Practical Introduction
3rd Edition
Published on 10. May 2021
XVI, 496 pages
978-3-11-071825-6 (ISBN)
Description
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.
More details
Series
Edition
3rd rev. and ext. edition
Language
English
Place of publication
Berlin/Boston
Germany
Publishing group
de Gruyter Mouton
Target group
College/higher education
US School Grade: From College Freshman to College Senior
Edition type
Revised edition
Illustrations
135 b/w and 16 col. ill., 35 b/w tbl.
File size
29,62 MB
ISBN-13
978-3-11-071825-6 (9783110718256)
Schweitzer Classification
Other editions
Additional editions
Book
05/2021
3rd Edition
De Gruyter Mouton
€54.95
Shipment within 5-7 days
E-Book
05/2021
3rd Edition
De Gruyter Mouton
€54.95
Available for download
Previous edition
E-Book
12/2009
1st Edition
De Gruyter Mouton
€109.95
Available for download
Person
Stefan Th. Gries
, University of California, Santa Barbara, CA, USA & Justus Liebig University Giessen, Germany.
Content
- Intro
- 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
