Main content

Home

Menu

Loading wiki pages...

View
Wiki Version:
How to use this Supplement The dataset provided for use in this project was originally published in the Supplemental Information of Popkin, et al. (2012): Popkin, Peter R.W., Polydora Baker, Fay Worley, Sebastian Payne, and Andy Hammond 2012. The Sheep Project (1): determining skeletal growth, timing of epiphyseal fusion and morphometric variation in unimproved Shetland sheep of known age, sex, castration status and nutrition. *Journal of Archaeological Science* 39(6): 1775-1792. https://doi.org/10.1016/j.jas.2012.01.018 The file is saved in a .CSV format, though is otherwise unchanged from the original .XLS file. Downloading all of the files in the supplement into a single folder will allow you to replicate all of the analyses and figures found in the associated paper. To do that, open the "Reexamining LSI Project.Rproj" R project file. The "Paper Results.Rdata" file includes the results of the different Bayesian analyses used to produce the results and figures in the chapter. Please note that the original analyses were run in R version 3.6.2 and Stan version 2.22. What Additional Software do I Need? To run these analyses, you need: R Statistical Environment (https://www.r-project.org/) RStan interface of Stan (https://mc-stan.org/users/interfaces/rstan.html) RStudio integrated development environment (https://rstudio.com/products/rstudio/) And the following packages (which can be installed once you have downloaded R): data.table, ggplot2, ggpubr, plyr, StanHeaders, rstan, svglite All included software is freely available.
OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.