Expressive/Deadpan Project

Overview

This paper contains the data, code, and figures from Anderson, Ling, & Schutz (under review). To use this code, you must first install R and RStudio, along with git.

File organization

Analysis code is organized in .qmd and .r files within the repository.

• Data are contained in the /data folder.
• Custom functions are viewable in the /lib folder.
• Figures from the analyses are viewable in the /img folder.
• Analysis scripts are located in the /scripts folder.

Getting started

Analyses can be replicated using the renv package to restore dependencies and versions from the original analysis in an isolated project folder. Before this, you must have git installed and configured, as well as R. I also recommend installing RStudio as it will allow you to open .Rproj files.

Cloning repository

In a terminal, navigate to the location you would like to write the project files to. Then, clone the repository: git clone https://github.com/cmndrsn/expressive-deadpan

Reproducing analyses with renv (recommended)

• Ensure the package renv is installed for R.
  • Inside R, run the command install.packages("renv").
  • Once installed, open the project file expressive-vs-deadpan.Rproj and run renv::restore() in the console. This will load the required dependencies to reproduce analyses.

Running analysis script

• Once all dependencies are installed, open expressive-vs-deadpan.Rproj in RStudio.
• From the file navigator:
  • open scripts/va-comparison.qmd from within the project to reproduce analyses of emotion ratings
  • open scripts/va-modeling.R from within the project to reproduce regression analyses