Contents

This repository contains full documentation for the paper:

Chu, E.Y. & Stull, K.E. (In press). An investigation of the relationship between long bone measurements and stature: Implications for estimating skeletal stature in subadults. International Journal of Legal Medicine

To run the code for this paper locally, please ensure that R, and optionally RStudio, are installed on the local system.

How to cite

Please cite this compendium as:

Chu, E.Y. & Stull, K.E. (2024). Compendium of R code for “An investigation of the relationship between long bone measurements and stature: Implications for estimating skeletal stature in subadults”. Accessed Current Date

The data

All data are from the Subadult Virtual Anthropology Database (SVAD). Specifically, this project uses portions of data from the United States, which is also directly provided in the data folder.

How to use this repository

There are two ways to add this repository to a local system:

1. If you are using a Mac operating system or have another shell terminal system (such as Git for Windows), open your terminal and enter the following commands:

cd "file/path/to/desired/repository/location"  # set file location 
git clone https://github.com/ElaineYChu/chu-and-stull_implications-subadult-stature  # clone the repository
cd chu-and-stull_implications-subadult-stature  # enter the new directory
ls  # check that there are files in the new directory

2. If you do not have or are unfamiliar with terminal command systems, you may also locate and click on the green button in this repository labeled "Code" with a downward arrow and select "Download ZIP." This will download a zipped file to your local system (probably found in your Downloads folder). Extract the embedded folder ("subadult_sv_2022-main") and relocate it to your desired folder location.

Next, rename the folder to "chu-and-stull_implications-subadult-stature" before proceeding further.

Inside the chu-and-stull_implications-subadult-stature folder, you should find the following folders and files:

• data - A folder containing the original subsetted data from SVAD and subsequent files after data manipulation
• results - A folder housing the resulting files from all analyses
• documentation - A RMarkdown file containing all code and analyses to replicate publication results. To view a rendered .HTML version of this file, click HERE
• elaine_theme - A personalized theme for plots using ggplot2