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traiano
2012 Nov 24
0
Grouped data objects within GLS and Variogram
...to specify the nesting structure, 2) a GLS model is fit assuming no spatial autocorrelation, 3) spatial covariance is added using the Variogram function, and 4) spatial correlation structures are compared. Before beginning, "canopy" (a percentage) is arcsin sqareroot transformed to "trancano", and "replicat" is specified as a factor.
> smith<-read.table("C:\\Users\\matlack\\Desktop\\Documents\\Undergrad Research\\Nicole Smith\\smith.txt",header=T)
> attach(smith)
> trancano=(asin(sqrt(canopy/100)))
> replicat=factor(replicat)
> library(nlme)...