This repository contains code and data to reproduce the results and figures of Newberry and Plotkin (2022) Measuring frequency-dependent selection in culture.
The companion source code repository is fdsel.
The analysis relies on the software fdsel, available in a separate repository
and R (3.6.1) with packages optparse and ggplot2, as well as a typical unix
environment.
The binary fdsel is required to be in the path. Some simulations require
OCaml components that must be compiled in the fdsel source repository and the
binaries copied here. These are described in comments in the respective
run.sh files.
The name analysis is in the names subdirectory. Executing ./run.sh and
Rscript plot.R reproduces the analysis. Please note that bootstrap
confidence intervals required to reproduce main text figures take several
CPU-days to execute on modern CPUs.
The dog popularity analysis is in the akc subdirectory. Executing ./run.sh
and Rscript plot.R reproduces most of the analysis.
The novelty bias grid search (SI Section 5) is extremely computationally
intensive and takes dozens of CPU-days to execute. To run this analysis,
uncomment the relevant lines from run.sh.
All software was written by Mitchell Newberry mitchell@localpost.io and is (c) Mitchell Newberry 2020-2022. Bug reports and comments are welcome.
Reproductions of public data included in this repository for archival purposes
and convenience. Their copyright and licensing terms lie with thier respective
authors as described in LICENSE.md, names/inp/PROVENANCE.md and
akc/inp/PROVENANCE.md.