Linear models and linear mixed effects models in R with linguistic applications
Computation and Language
2013-08-27 v1
Abstract
This text is a conceptual introduction to mixed effects modeling with linguistic applications, using the R programming environment. The reader is introduced to linear modeling and assumptions, as well as to mixed effects/multilevel modeling, including a discussion of random intercepts, random slopes and likelihood ratio tests. The example used throughout the text focuses on the phonetic analysis of voice pitch data.
Cite
@article{arxiv.1308.5499,
title = {Linear models and linear mixed effects models in R with linguistic applications},
author = {Bodo Winter},
journal= {arXiv preprint arXiv:1308.5499},
year = {2013}
}
Comments
42 pages, 17 figures