VIF_selection: Automating the exclusion of multicolinear variables
In RodolfoPelinson/AtlanticForestMetacommunity: Gives the functions and data for the Analysis of Pelinson et al. 2021 "Disentangling the multiple drivers of amphibian metacommunity structure in the Atlantic Forest at multiple spatial scales"
View source: R/VIF_selection_function.R
VIF_selection R Documentation
Automating the exclusion of multicolinear variables
Description
This function takes a matrix of variables and excludes those who exhibit
a variance inflation factor higher than 3 for giving matrix of response variables. It uses the function vif.cca() from package vegan.
Usage
VIF_selection(Y, X)
Arguments
Y
A matrix of response variables
X
A matrix of predictor variables from which multicolinear variables will be excluded.
RodolfoPelinson/AtlanticForestMetacommunity documentation built on Aug. 5, 2023, 3:53 p.m.
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View source: R/VIF_selection_function.R
| VIF_selection | R Documentation |
Automating the exclusion of multicolinear variables
Description
This function takes a matrix of variables and excludes those who exhibit a variance inflation factor higher than 3 for giving matrix of response variables. It uses the function vif.cca() from package vegan.
Usage
VIF_selection(Y, X)
Arguments
Y |
A matrix of response variables |
X |
A matrix of predictor variables from which multicolinear variables will be excluded. |
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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