Published in Parasites & Vectors 2023

Cole Baril¹, Ben G. Pilling¹, Milah J. Mikkelsen¹, Jessica M. Sparrow¹, Carlyn A. M Duncan¹, Cody W. Koloski¹, Stefanie E. LaZerte^1,2, Bryan J. Cassone¹*

^* Corresponding Author
¹ Department of Biology, Brandon University, Brandon, MB R7A 6A9, Canada
² Steffi LaZerte R Programming and Biological Consulting, Brandon, Manitoba

Please contact Bryan Cassone for questions regarding this paper and Steffi LaZerte (@steffilazerte) regarding problems running these scripts.

This repository contains the code used to load, prepare, explore and analyze mosquito counts for this manuscript.

The scripts are stored int the Scripts folder and can be run in sequence. Note that scripts are designed to produce formatted RMarkdown reports, so can be run interactively (by hand) or with the rmarkdown::render() code contained at the top of each script. If running this code, an html report of the script will be produced in the Results folder. Data produced will be saved to a Data folder. The original data is stored in the Data/Raw folder. The final dataset, mosquitoes.csv is stored in the Data/Datasets folder.

To improve reproducibility, renv is used to set the package versions used. To restore this set of packages, open this project as an Rstudio project, and use the renv::restore() function (listed but commented out at the top of each script).