- Authors: Lauren Hallett [[email protected]], Meghan Avolio [[email protected]], Ian T. Carroll [[email protected]], Sydney K. Jones [[email protected]], Andrew A. MacDonald [[email protected]], Dan F. B. Flynn [[email protected]], Peter Slaughter [[email protected]], Julie Ripplinger [[email protected]], Scott L. Collins [[email protected]], Corinna Gries [[email protected]], Matthew B. Jones [[email protected]]
- Version 1.x: doi:10.5063/F1542KJB
- Version 2.x: doi:10.5063/F1N877Z6
- License: Apache 2
- Package source code on Github
- Submit Bugs and feature requests
A package to analyze long-term ecological community datasets.
Univariate and multivariate temporal and spatial diversity indices, rank abundance curves, and community stability metrics. The functions implement metrics that are either explicitly temporal and include the option to calculate them over multiple replicates, or spatial and include the option to calculate them over multiple time points. Functions fall into five categories: static diversity indices, temporal diversity indices, spatial diversity indices, rank abundance curves, and community stability metrics. The diversity indices are temporal and spatial analogs to traditional diversity indices. Specifically, the package includes functions to calculate community richness, evenness and diversity at a given point in space and time. In addition, it contains functions to calculate species turnover, mean rank shifts, and lags in community similarity between two time points.
For an overview of codyn, see:
- Hallett LM, Jones SK, MacDonald AAA, Jones MB, Flynn DFB, Ripplinger J, Slaughter P, Gries C, Collins SL (2016) codyn: An R package of community dynamics metrics. Methods in Ecology and Evolution, 7(10):1146–1151. https://doi.org/10.1111/2041-210X.12569
For a description of the newer spatial methods in codyn v2.x:
- Avolio ML, Carroll IT, Collins SL, Houseman GR, Hallett LM, Isbell F, Koerner SE, Komatsu KJ, Smith MD, Wilcox KR (2019) A comprehensive approach to analyzing community dynamics using rank abundance curves. Ecosphere, 10(10):e02881. https://doi.org/10.1002/ecs2.2881
From CRAN, the package can be installed using standard tools:
install.packages("codyn")To simplify the process of running R CMD check on the package, one can easily run the build and tests using
the rhub package. Use rhub::platforms() to get a list of platforms that can be used to build and test.
library(rhub)
chks <- check(platform = c("debian-gcc-devel", "fedora-gcc-devel"), show_status = FALSE)and the checks can be run locally using rhub as well using a docker container:
library(rhub)
local_check_linux(image="rhub/fedora-gcc-devel")Work on this package was supported by NSF-ABI grant #1262458 to C. Gries, M. Jones, and S. Collins. Additional support was provided for working group collaboration by the National Center for Ecological Analysis and Synthesis, a Center funded by the University of California, Santa Barbara, and the State of California, and a SESYNC Synthesis Postdoctoral Fellowship to MLA.