bin.rsquare {sesem}

Extract r-square values for dependant variables a spatial SEM for a particular lag distance bin

Description

extracts rsquare values from for dependent variables in a spatial SEM object for a particular lag distance bin in a readable format

Usage

bin.rsquare(spatial_model_results, bin = "binflat")

Arguments

spatial_model_results

a list object produced by function run.Models

bin

Name of the bin that results are desired for. Defaults to flat (nonspatial) model

Author(s)

Eric Lamb

References

Lamb, E. G., K. Mengersen, K. J. Stewart, U. Attanayake, and S. D. Siciliano. 2014. Spatially explicit structural equation modeling. Ecology 95:2434-2442.

See Also

sem, make.covar, runModels, modelsummary, bin.results

Examples

#data=truelove
#distancematrix<-calc.dist(truelove)
#Truelove_bins<-make.bin(distancematrix,type="ALL",p.dist=20)
#binsize<-Truelove_bins[1][[1]] #truelove lowland bin sizes
#binname<-Truelove_bins[2][[1]] #truelove lowland bin names

#covariances<-make.covar(truelove,distancematrix,binsize,binname)
#covariances

# path model for the truelove dataset
#spatial_model<-'
#	Gram ~ Moisture
#	N_Fix ~ Bryoph + Lich + SoilCrust
#	SoilCrust ~ Bryoph + Lich + Gram + Shrubs + Forbs	
#	Bryoph ~ Gram + Shrubs + Forbs + Moisture
#	Lich ~ Moisture + Forbs + Gram + Shrubs + Bryoph
#	Forbs ~ Moisture
#	Gram ~~ Forbs
#	Shrubs ~ Moisture	
#	Gram ~~ Shrubs
#	Shrubs ~~ Forbs
#	'
#
#results<-runModels(spatial_model,covariances)

#The above script produces the sesem object stored as truelove_results

data=truelove_results

bin.rsquare(truelove_results)
bin.rsquare(truelove_results,bin="Bin2")