Statistics for Linguistics with R: A Practical Introduction

Stefan Th. Gries

Published by De Gruyter Mouton 2021

Statistics for Linguistics with R

A Practical Introduction

Stefan Th. Gries

In the series Mouton Textbook

https://doi.org/10.1515/9783110718256

Overview
Contents

About this book

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.

Updated and extended new edition with two new chapters on fast-growing methods;
A lot of new practical advice and discussion;
Still thoroughly hands-on with thousands of lines of code

Author / Editor information

Stefan Th. Gries, University of California, Santa Barbara, CA, USA & Justus Liebig University Giessen, Germany.

Topics

Frontmatter Publicly Available Download PDF	I
Statistics for Linguistics with R – Endorsements of the 3rd Edition Publicly Available Download PDF	VII
Introduction Publicly Available Download PDF	IX
Table of Contents Publicly Available Download PDF	XI
1 Some fundamentals of empirical research Requires Authentication Unlicensed Licensed Download PDF	1
2 Fundamentals of R Requires Authentication Unlicensed Licensed Download PDF	51
3 Descriptive statistics Requires Authentication Unlicensed Licensed Download PDF	91
4 Monofactorial tests Requires Authentication Unlicensed Licensed Download PDF	164
5 Fixed-effects regression modeling Requires Authentication Unlicensed Licensed Download PDF	235
6 Mixed-effects regression modeling Requires Authentication Unlicensed Licensed Download PDF	393
7 Tree-based approaches Requires Authentication Unlicensed Licensed Download PDF	453
References Requires Authentication Unlicensed Licensed Download PDF	486
About the Author Requires Authentication Unlicensed Licensed Download PDF	496

(Deutsch)

Language: English
Publisher: De Gruyter Mouton
Edition: 3rd rev. and ext. edition
Audience: Students, post docs, and practitioners doing quantitative analyses in Linguistics and related fields
Pages
- Front matter: 16
- Main content: 496
Illustrations
- Illustrations: 135
- Coloured Illustrations: 16
- Tables: 35
Keywords: R; Linguistics; Statistics; Regression Modeling

eBook

Published: May 10, 2021
ISBN: 9783110718256

Paperback

Published: May 10, 2021
ISBN: 9783110718164