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FactorsR  

Identification of the Factors Affecting Species Richness
View on CRAN: Click here


Download and install FactorsR package within the R console
Install from CRAN:
install.packages("FactorsR")

Install from Github:
library("remotes")
install_github("cran/FactorsR")

Install by package version:
library("remotes")
install_version("FactorsR", "1.5")



Attach the package and use:
library("FactorsR")
Maintained by
Cstor Guisande Gonzlez
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-02-17
Latest Update:
Description:
It identifies the factors significantly related to species richness, and their relative contribution, using multiple regressions and support vector machine models. It uses an output file of 'ModestR' with data of richness of the species and environmental variables in a cell size defined by the user. The residuals of the support vector machine model are shown on a map. Negative residuals may be potential areas with undiscovered and/or unregistered species, or areas with decreased species richness due to the negative effect of anthropogenic factors.
How to cite:
Cstor Guisande Gonzlez (2017). FactorsR: Identification of the Factors Affecting Species Richness. R package version 1.5, https://cran.r-project.org/web/packages/FactorsR. Accessed 10 Sep. 2026.
Previous versions and publish date:
1.1 (2017-02-17 14:38), 1.2 (2017-09-06 14:21), 1.3 (2018-12-06 22:51), 1.4 (2019-02-04 23:13), 1.5 (2022-03-01 17:00), (2026-07-09 08:04)
Other packages that cited FactorsR R package
View FactorsR citation profile
Other R packages that FactorsR depends, imports, suggests or enhances
Functions, R codes and Examples using the FactorsR R package
Some associated functions: Factors . Sharks . adworld . 
Some associated R codes: Factors.R .  Full FactorsR package functions and examples
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