systematicsinprehistory

This repository contains the data and code for our paper:

Authors, (2022). Robert C. Dunnell’s ‘Systematics in Prehistory’ at 50. Evolutionary Human Sciences https://doi.org/xxx/xxx

Our pre-print is online here:

Authors, (2022). Robert C. Dunnell’s ‘Systematics in Prehistory’ at 50. SocArxiv, Accessed 20 Apr 2022. Online at https://doi.org/xxx/xxx

How to cite

Please cite this compendium as:

Authors, (2022). Compendium of R code and data for Robert C. Dunnell’s ‘Systematics in Prehistory’ at 50. Accessed 20 Apr 2022. Online at https://doi.org/xxx/xxx

Contents

The most important parts of this compendium are:

• 🎯 _targets.R: workflow instructions and information indicating the order that code needs to be run to generate the results. Run targets::tar_make() at the R console to start the analysis workflow.
• 📁 analysis/paper: R Markdown source document for manuscript, and R script files. Includes code to reproduce the figures and tables generated by the analysis. It also has a rendered version, paper.docx, suitable for reading (the code is replaced by figures and tables in this file)
• 📁 analysis/data: Data used in the analysis.
• 📁 analysis/figures: Plots and other illustrations

How to run in your broswer or download and run locally

This research compendium has been developed using the statistical programming language R. To work with the compendium, you will need installed on your computer the R software itself and optionally RStudio Desktop.

The simplest way to explore the text, code and data is to click on binder to open an instance of RStudio in your browser, which will have the compendium files ready to work with. Binder uses rocker-project.org Docker images to ensure a consistent and reproducible computational environment. These Docker images can also be used locally.

You can download the compendium as a zip from from this URL: master.zip. After unzipping you can run our code by followinfg these steps:

1. open the .Rproj file in RStudio
2. run renv::restore() to download and install the packages required to run our code
3. run targets::tar_make() to run our analysis R code in the analysis directory in order, the final step of this will be knitting the R Markdown document to produce our submitted manuscript, paper.docx

Licenses

Text and figures : CC-BY-4.0

Code : See the DESCRIPTION file

Data : CC-0 attribution requested in reuse

Contributions

We welcome contributions from everyone. Before you get started, please see our contributor guidelines. Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.