This repository contains the R code and data associated with the publication by Thurman et al. (2019) in the Journal of Evolutionary Biology. Providing code and data alongside scientific publications is a crucial practice for ensuring research reproducibility and transparency. This digital resource allows other researchers to replicate the analyses presented in the paper, verify findings, and build upon the existing work. The content of this repository, being R code and data, is designed for statistical analysis and data manipulation within the R programming environment. While the specific technical specifications depend on the nature of the research presented in the Thurman et al. (2019) paper, it would typically involve data processing, statistical modeling, and generation of figures and tables. The R scripts would likely utilize various R packages relevant to the biological questions addressed in the publication. The performance and capabilities are tied to the efficiency of the R code and the computational resources available to the user. This digital good is primarily useful for researchers in evolutionary biology, ecology, and related fields who are interested in the specific findings or methodologies employed in the Thurman et al. (2019) study. It serves as a direct complement to the published article, offering the underlying computational details. Applications include validating research results, adapting the analytical methods for new datasets, or extending the original study. The benefits include enhanced reproducibility of scientific findings, facilitation of collaborative research, and acceleration of scientific discovery by providing direct access to the analytical framework. The code and data are compatible with standard R installations, enabling broad accessibility for the scientific community.