bin.rsquare: Extract r-square values for dependant variables a spatial SEM...
In sesem: Spatially Explicit Structural Equation Modeling

Description Usage Arguments Author(s) References See Also Examples

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

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

`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

Eric Lamb

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

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

#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")