General information

This repo contains all the scripts and data for the following paper:

Toro-Serey, C., Kane, G., & McGuire, J. (2021, May 31). Apparent preferences for cognitive effort fade when multiple forms of effort and delay are interleaved in a foraging environment. Preprint

Reproduce the preprint

The paper can be reproduced in pdf format by running (well, Knitting) Manuscript.Rmd in R (blogdown required). The markdown file is organized so that code for the analyses precedes each written section. The files sessionInfo_iMac.txt and sessionInfo_m1.txt contain information about the environments used and tested to produce this manuscript.

Docker environment

This method does not work on M1 Macs yet because of Rstudio incompatibility in rocker/verse

You can also use a Docker container to run Manuscript.Rmd and produce the preprint pdf (Image produced based on this tutorial.)

Once you install Docker:

• Clone this repo

• Run the following command, where <yourpath> is the path to cloned repository (this command will download a ~4GB image to your machine):

docker run --rm -p 8787:8787 -e PASSWORD=foraging -v <yourpath>:/home/rstudio/Cost_studies ctoroserey/cost_studies:preprintenv

• In your browser of choice, go to http://localhost:8787 (user: rstudio, password: foraging), then make sure you're in the Cost_studies working directory (setwd(‘Cost_studies’)) and that you see all the repo files. Open Manuscript.Rmd. This will allow you to load the data from the repo directory, and everything produced within the Docker container will be stored locally within the repo directory.

• To produce the pdf, click on the Knit button towards the top of the window. This will take ~5 mins, during which you'll see temp files within your local repo directory. If you want the figures at the end of the manuscript, set figsEnd to TRUE (within the Setups chunk).

Of course, loading this Docker image will also let you run sections of the code that you might be interested in. As long as you run the Setups and both Load data * sections, you should be able to run any section by itself. Note that the models are not run within the manuscript file (results are loaded from previous fits). To examine the model in detail, run modeling_btw/wth.R withi the Models directory.