
R version 3.6.2 (2019-12-12) -- "Dark and Stormy Night"
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Platform: x86_64-pc-linux-gnu (64-bit)

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> options(digits = 4)
> set.seed(1131)
> d = data.frame(x=runif(50),y=runif(50),z=runif(50),v=rnorm(50))
> library(gstat)
> xx = krige.cv(v~1,~x+y+z,d,model=vgm(1,"Exp",1), verbose=F, set=list(debug=0))
> summary(xx)
   var1.pred         var1.var        observed         residual      
 Min.   :-1.163   Min.   :0.116   Min.   :-2.240   Min.   :-2.1755  
 1st Qu.:-0.571   1st Qu.:0.175   1st Qu.:-0.876   1st Qu.:-0.7881  
 Median :-0.201   Median :0.192   Median :-0.219   Median : 0.1175  
 Mean   :-0.165   Mean   :0.208   Mean   :-0.142   Mean   : 0.0233  
 3rd Qu.: 0.161   3rd Qu.:0.240   3rd Qu.: 0.500   3rd Qu.: 0.8508  
 Max.   : 1.085   Max.   :0.426   Max.   : 1.857   Max.   : 2.5224  
     zscore            fold            x                y         
 Min.   :-5.168   Min.   : 1.0   Min.   :0.0068   Min.   :0.0034  
 1st Qu.:-1.875   1st Qu.:13.2   1st Qu.:0.2397   1st Qu.:0.2466  
 Median : 0.245   Median :25.5   Median :0.4867   Median :0.4525  
 Mean   : 0.017   Mean   :25.5   Mean   :0.4997   Mean   :0.4969  
 3rd Qu.: 2.020   3rd Qu.:37.8   3rd Qu.:0.7473   3rd Qu.:0.7394  
 Max.   : 7.354   Max.   :50.0   Max.   :0.9875   Max.   :0.9872  
       z         
 Min.   :0.0016  
 1st Qu.:0.1865  
 Median :0.4485  
 Mean   :0.4714  
 3rd Qu.:0.7240  
 Max.   :0.9942  
> 
> proc.time()
   user  system elapsed 
  0.776   0.050   0.815 
