Linear Mixed Effects Models in R

Pre-workshop Setup

• Download and install the latest version of R.
• Download and install RStudio. RStudio is an application (an integrated development environment or IDE) that facilitates the use of R and offers a number of nice additional features. You will need the free Desktop version for your computer.
• Install the following packages. Copy the following line of code and paste it in the Rstudio Console, and press return to run the code.

install.packages(c("tidyverse", "lme4", "lmerTest"))

• Import the shortened version of dataset in Winter and Grawunder (2012). Copy the following line of code and paste it in the Rstudio Console, and press return to run the code.

data = read.csv("http://www.bodowinter.com/tutorial/politeness_data.csv")

Prerequisites

The workshop will be easier for you if…

You have basic knowledge about R and R studio.

You have basic inferential statistical knowledge.

Recommended Reading

Winter, B. (2019). Statistics for Linguists: An Introduction Using R (1st ed.). Routledge. https://doi.org/10.4324/9781315165547

Shravan Vasishth, Daniel Schad, Audrey Bürki, Reinhold Kliegl. (on going) Linear Mixed Models in Linguistics and Psychology: A Comprehensive Introduction. https://vasishth.github.io/Freq_CogSci/

Barr, Dale J. (2021). Learning statistical models through simulation in R: An interactive textbook. Version 1.0.0. Retrieved from https://psyteachr.github.io/stat-models-v1.

McElreath, R. (2020). Statistical Rethinking: A Bayesian course with examples in R and STAN. CRC Press.