vortexR: vortexR: an R package for Post Vortex Simulation Analysis
In carlopacioni/vortexR: Post Vortex Simulation Analysis
vortexR R Documentation
vortexR: an R package for Post Vortex Simulation Analysis
Description
vortexR facilitates Post Vortex Simulation Analysis (PVSA) by offering
tools to collate multiple Vortex (v10) output files into one R object, generate
plots and conduct basic analysis (e.g. pairwise comparisons of scenarios) and
more advanced statistics such as fitting of a Generalised Linear Model (GLM)
to investigate the main and the interaction effects of the variables of
interest.
Details
vortexR has a number of functions that are useful during the
development of a Vortex project and for its analysis after completion.
vortexR makes it easy to automatise the creation of plots and
computation of basic statistics to inspect the effect of changes carried out
in the Vortex project. Once the project development is completed, the same
framework used in vortexR during the development of the project can be
refined and extended to include more advanced statistical analyses or can be
easily included in Markdown documents for the creation of reports (by
converting them into pdf) or update web-pages.
The use of vortexR ensures reproducibility and standardises analytical
approaches in population viability analysis.
Documentations
Use help(package = 'vortexR') for a list of vortexR functions
and their specific documentations.
A more detailed description of the package and functions can be opened with:
vignette(package='vortexR', topic='User-guide').
More vignettes may be come available in the future. Use
vignette(package='vortexR') to see all the available vignettes.
Citation
If you use vortexR, please cite:
Pacioni, C., and Mayer, F. (2017). vortexR: an R package for post Vortex
simulation analysis. Methods in Ecology and Evolution.
Get in touch
Please, use https://github.com/carlopacioni/vortexR/issues to report
any issues with vortexR. If unsure, or for feedback, contact me at:
carlo.pacioni 'at' gmail.com.
Publications
Below there are listed a few publications that used vortexR.
Campbell et al. (2016). Assessing the economic benefits of starling
detection and control to Western Australia. Australasian Journal of
Environmental Management, 23, 81-99.
doi: 10.1080/14486563.2015.1028486
Pacioni, C., Williams, M., Lacy RC, Spencer, P.B.S. and Wayne, A.F. (2017)
Predators and genetic fitness: key threatening factors for the conservation
of bettong species. Pacific Conservation Biology.
doi: 10.1071/PC17002
carlopacioni/vortexR documentation built on May 6, 2022, 12:07 p.m.
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| vortexR | R Documentation |
vortexR: an R package for Post Vortex Simulation Analysis
Description
vortexR facilitates Post Vortex Simulation Analysis (PVSA) by offering
tools to collate multiple Vortex (v10) output files into one R object, generate
plots and conduct basic analysis (e.g. pairwise comparisons of scenarios) and
more advanced statistics such as fitting of a Generalised Linear Model (GLM)
to investigate the main and the interaction effects of the variables of
interest.
Details
vortexR has a number of functions that are useful during the
development of a Vortex project and for its analysis after completion.
vortexR makes it easy to automatise the creation of plots and
computation of basic statistics to inspect the effect of changes carried out
in the Vortex project. Once the project development is completed, the same
framework used in vortexR during the development of the project can be
refined and extended to include more advanced statistical analyses or can be
easily included in Markdown documents for the creation of reports (by
converting them into pdf) or update web-pages.
The use of vortexR ensures reproducibility and standardises analytical
approaches in population viability analysis.
Documentations
Use help(package = 'vortexR') for a list of vortexR functions
and their specific documentations.
A more detailed description of the package and functions can be opened with:
vignette(package='vortexR', topic='User-guide').
More vignettes may be come available in the future. Use
vignette(package='vortexR') to see all the available vignettes.
Citation
If you use vortexR, please cite:
Pacioni, C., and Mayer, F. (2017). vortexR: an R package for post Vortex
simulation analysis. Methods in Ecology and Evolution.
Get in touch
Please, use https://github.com/carlopacioni/vortexR/issues to report any issues with vortexR. If unsure, or for feedback, contact me at: carlo.pacioni 'at' gmail.com.
Publications
Below there are listed a few publications that used vortexR.
Campbell et al. (2016). Assessing the economic benefits of starling detection and control to Western Australia. Australasian Journal of Environmental Management, 23, 81-99. doi: 10.1080/14486563.2015.1028486
Pacioni, C., Williams, M., Lacy RC, Spencer, P.B.S. and Wayne, A.F. (2017) Predators and genetic fitness: key threatening factors for the conservation of bettong species. Pacific Conservation Biology. doi: 10.1071/PC17002
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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