https://github.com/archaeo-programmer/cropspreadr
Spread Processes and Rates behind Maize Agriculture
Science Score: 10.0%
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Low similarity (11.9%) to scientific vocabulary
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Repository
Spread Processes and Rates behind Maize Agriculture
Basic Info
Statistics
- Stars: 3
- Watchers: 2
- Forks: 0
- Open Issues: 1
- Releases: 0
Topics
Metadata Files
README.md
cropSpreadR: Exploring Spread Processes and Rates of Maize Agriculture
cropSpreadR is an R package implementing functions to perform
analysis on the spread processes and movement rates of maize agriculture.
This is the official R package for cropSpreadR, which contains all code associated with the analyses described and presented, including figures and tables, in Gillreath-Brown et al. 2022 (submitted):
Gillreath-Brown, A., D. Bird, and T. A. Kohler (2022). Rate Variability on the Maize Northern Frontier in the Prehispanic Southwestern United States: Implications for Earliest Maize. Submitted to Journal of Archaeological Science: Reports for review.
All code for analysis, figures, and tables is in MaizeSpreadProcesses.Rmd.
Installation
You can install cropSpreadR from GitHub with these lines of R code (Windows users are recommended to install a separate program, Rtools, before proceeding with this step):
r
if (!require("devtools")) install.packages("devtools")
devtools::install_github("Archaeo-Programmer/cropSpreadR")
Repository Contents
The :file_folder: vignettes directory contains:
- :page_facing_up: MaizeSpreadProcesses: R Markdown document with all analysis and code to reproduce the figures and tables for the submitted paper (Gillreath-Brown et al. 2022).
- :file_folder: figures: Plots, figures, and illustrations in the paper, including supplementary materials.
- :file_folder: tables: Tables in the paper, including supplementary materials.
How to Run the Code?
To reproduce the analysis, output, figures, and tables, you will need to clone the repository. To clone the repository, you can do the following from your Terminal:
bash
git clone https://github.com/Archaeo-Programmer/cropSpreadR.git
cd cropSpreadR
After installing the cropSpreadR package (via install_github as shown above or by using devtools::install()), then you can render the analysis, visualizations, and tables.
You can compile the cropSpreadR analysis within R by entering the following in the console:
r
rmarkdown::render(here::here('vignettes/Maize_Analysis.Rmd'), output_dir = here::here('vignettes'))
Another option for reproducing the results is to use the package itself and follow along with the vignette, cropSpreadR. Data and functions are already loaded into the package.
Licenses
Code: GNU GPLv3
Data: CC-0 attribution requested in reuse
Acknowledgements
This material is based upon work supported by the National Science Foundation under Grants SMA-1637171 and SMA-1620462, and by the Office of the Chancellor, Washington State University-Pullman.
Owner
- Name: Andrew Gillreath-Brown
- Login: Archaeo-Programmer
- Kind: user
- Company: @YPCCC
- Twitter: andrewwbrown
- Repositories: 15
- Profile: https://github.com/Archaeo-Programmer
Data Scientist @YPCCC; Research Associate at MPI-GEA
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Top Committers
| Name | Commits | |
|---|---|---|
| Andrew Gillreath-Brown | a****4@g****m | 73 |
| Darcy Bird | d****d@g****m | 1 |
| Andrew Gillreath-Brown | A****r | 1 |
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- Total pull requests: 0
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- Total pull request authors: 0
- Average comments per issue: 0.0
- Average comments per pull request: 0
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Dependencies
- R >= 3.5.0 depends
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