Create, visualize, manipulate, and analyze bipartite mineral-chemistry
networks for set of focal element(s) across deep-time on Earth. The method is
described in Spielman and Moore (2020)
dragon (Deep time Redox Analysis of the Geobiology Ontology Network) package provides a Shiny Application for examining mineral-chemistry networks over deep time on Earth, with a specific application of investigating biologically-relevant evolution of element redox states.
visNetwork library (a terribly handy R wrapper for
vis.js) to construct user-friendly interactive networks.
This package was written by Stephanie J. Spielman, Ph.D. at Rowan University for collaborative research with Eli K. Moore, Ph.D. at Rowan University and is lisenced under GPL-3.
To obtain and run
dragon, you will need the
## Install package library(remotes) install_github("spielmanlab/dragon") ## Launch application library(dragon) rundragon()
dragon is freely hosted at https://sjspielman.shinyapps.io/dragon/.
Additional documentation for
dragon use is forthcoming.
Release of Version 0.1.0