varImportance: variable importance

In sdm: Species Distribution Modelling

Description

Calculates relative importance of different variables in the models using several approaches.

Usage

getVarImp(x,id,wtest,...)

Arguments

x	a numeric vector including the observed values; or a sdmEvaluate object
id	a numeric vector including the predicted values
wtest	specifies which dataset ('training','test.dep','test.indep') should be used (if exist) to calculate the importance of variables
...	additional arguments (not implemented yet.)

Details

getVarImp function returns an object including different measures of variable importance, and if be put in plot function, a barplot is generated:

Author(s)

Babak Naimi [e-mail]

http://r-gis.net

http://biogeoinformatics.org

References

Naimi, B., Araujo, M.B. (2016) sdm: a reproducible and extensible R platform for species distribution modelling, Ecography, DOI: 10.1111/ecog.01881

Examples

## Not run: 
# if m is a sdmModels object (output of sdm function) then:

getVarImp(m,id=1,wtest='training') # variable importance based on training dataset

vi <- getVarImp(m,id=1,wtest='test.dep') 

plot(vi,'auc')

plot(vi,'cor')


## End(Not run)

sdm documentation built on May 2, 2019, 6:32 p.m.