Get started
Work

Trombley et al Histotaphonomy Data and R.Studio workflow

Year: 2026
Type: dataset
Abstract: Sources These data were originally collected and published with preliminary analyses by Trent Trombley in his dissertation, which is accessible here at escholarship.org. The remaining code pertains to the analyses and statstics employed. Multiple Correspondence Analysis was performed using the FactoMine package (for a recent guide, see Datanovia's MCA walkthrough). Logistic Regression code and analyses used the glm function, and further expansion by Alice (2015) and UCLA's Statistical Methods and Data Analysis Logistic Regression guide. Contents The Data and Analysis.ZIP folder includes: R.Studio Project (Data and Analysis) Cleaned data (histotaphonomy_data) Excel sheet R.Studio Code file (Trombley et al_Histotaphonomy Code) R.Markdown Code File (Trombley et al_Histotaphonomy R.Markdown Code.rmd) R.Markdown HTML output (Trombley et al_Histotaphonomy-R.Markdown-Code.HTML) Instructions For R.Studio Begin by downloading and unzipping the Data and Analysis.ZIP folder, then open Data and Analysis R Project. Then run the top code to load appropriate library settings and packages (note: some packages may need to be installed/updated). Then use the Project Path code (lines 29-33) to load the dataset from the project's working directory. I recommend enabling the Show Document Outline by pressing Ctrl + Shift + O or by toggling the feature in the upper corner of the script window so that you can better visualize the workflow. For R.Markdown After downloading the Data and Analysis.ZIP folder, open the R Markdown Document (Trombley et al_Histotaphonomy R.Markdown Code.rmd) and click the Knit button. This will run the entire code and create an HTML document with the code chunks, analyses, and graphs/visuals embedded and a hyperlinked Table of Contents.
DOI: 10.5281/zenodo.22778512
Language: English
Open Access status: green
OpenAlex ID: W7213311981
Cites:
Cited by:
Related to: 10