The data used in this course was adapted from data from the paper S. K. Morgan Ernest, Thomas J. Valone, and James H. Brown. 2009. Long-term monitoring and experimental manipulation of a Chihuahuan Desert ecosystem near Portal, Arizona, USA. Ecology 90:1708.
http://esapubs.org/archive/ecol/E090/118/
A simplified version of that data, suitable for teaching is available on figshare.
The data used in this course was adapted from the above Ecology dataset by Alison Clarke and Michelle de Gruchy, and is available on Zenodo.
The first workshop was run at NESCent on May 8-9, 2014 with the development and instruction of lessons by Karen Cranston, Hilmar Lapp, Tracy Teal, and Ethan White and contributions from Deb Paul and Mike Smorul.
Original materials adapted from SWC Python lessons by Sarah Supp. John Blischak led the continued development of materials with contributions from Gavin Simpson, Tracy Teal, Greg Wilson, Diego Barneche, Stephen Turner, and Karthik Ram. This original material has been modified and expanded by François Michonneau.
The dplyr lesson was created by Kara Woo, who copied and modified and modified from Jeff Hollister’s materials.
The ggplot2 lesson was initially created by Mateusz Kuzak, Diana Marek, and Hedi Peterson, during a Hackathon in Espoo, Finland on March 16-17, 2015, sponsored by the ELIXIR project.
You can cite this Data Carpentry lesson as follow:
Clarke A (2022). “alisonrclarke/R-archaelogy-lesson: Data Carpentry: Data Analysis and Visualization in R for Archaeologists, June 2019.” doi:10.5281/zenodo.3264888, https://alisonrclarke.github.io/R-archaeology-lesson/.
or as a BibTeX entry:
@Misc{,
author = {Alison Clarke},
title = {alisonrclarke/R-archaelogy-lesson: Data Carpentry: Data Analysis and Visualization in R for Archaeologists, June 2019},
editor = {Ana Costa Conrado and Auriel M.V. Fournier and Brian Seok and Francois Michonneau},
month = {May},
year = {2022},
url = {https://alisonrclarke.github.io/R-archaeology-lesson/},
doi = {10.5281/zenodo.3264888},
}Page built on: 📆 2022-05-18 ‒ 🕢 12:38:05
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