R version 2.15.2 (2012-10-26) -- "Trick or Treat"
Copyright (C) 2012 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i686-pc-linux-gnu (32-bit)

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> y <- c(1.0137
+ ,0.9834
+ ,0.9643
+ ,0.947
+ ,0.906
+ ,0.9492
+ ,0.9397
+ ,0.9041
+ ,0.8721
+ ,0.8552
+ ,0.8564
+ ,0.8973
+ ,0.9383
+ ,0.9217
+ ,0.9095
+ ,0.892
+ ,0.8742
+ ,0.8532
+ ,0.8607
+ ,0.9005
+ ,0.9111
+ ,0.9059
+ ,0.8883
+ ,0.8924
+ ,0.8833
+ ,0.87
+ ,0.8758
+ ,0.8858
+ ,0.917
+ ,0.9554
+ ,0.9922
+ ,0.9778
+ ,0.9808
+ ,0.9811
+ ,1.0014
+ ,1.0183
+ ,1.0622
+ ,1.0773
+ ,1.0807
+ ,1.0848
+ ,1.1582
+ ,1.1663
+ ,1.1372
+ ,1.1139
+ ,1.1222
+ ,1.1692
+ ,1.1702
+ ,1.2286
+ ,1.2613
+ ,1.2646
+ ,1.2262
+ ,1.1985
+ ,1.2007
+ ,1.2138
+ ,1.2266
+ ,1.2176
+ ,1.2218
+ ,1.249
+ ,1.2991
+ ,1.3408
+ ,1.3119
+ ,1.3014
+ ,1.3201
+ ,1.2938
+ ,1.2694
+ ,1.2165
+ ,1.2037
+ ,1.2292
+ ,1.2256
+ ,1.2015
+ ,1.1786
+ ,1.1856
+ ,1.2103
+ ,1.1938
+ ,1.202
+ ,1.2271
+ ,1.277
+ ,1.265
+ ,1.2684
+ ,1.2811
+ ,1.2727
+ ,1.2611
+ ,1.2881
+ ,1.3213
+ ,1.2999
+ ,1.3074
+ ,1.3242
+ ,1.3516
+ ,1.3511
+ ,1.3419
+ ,1.3716
+ ,1.3622
+ ,1.3896
+ ,1.4227
+ ,1.4684
+ ,1.457
+ ,1.4718
+ ,1.4748
+ ,1.5527
+ ,1.575
+ ,1.5557
+ ,1.5553
+ ,1.577
+ ,1.4975
+ ,1.4369
+ ,1.3322
+ ,1.2732
+ ,1.3449
+ ,1.3239
+ ,1.2785
+ ,1.305
+ ,1.319
+ ,1.365
+ ,1.4016
+ ,1.4088
+ ,1.4268
+ ,1.4562
+ ,1.4816
+ ,1.4914
+ ,1.4614
+ ,1.4272
+ ,1.3686
+ ,1.3569
+ ,1.3406
+ ,1.2565
+ ,1.2208
+ ,1.277
+ ,1.2894
+ ,1.3067
+ ,1.3898
+ ,1.3661
+ ,1.322
+ ,1.336
+ ,1.3649
+ ,1.3999
+ ,1.4442
+ ,1.4349
+ ,1.4388
+ ,1.4264
+ ,1.4343
+ ,1.377
+ ,1.3706
+ ,1.3556
+ ,1.3179
+ ,1.2905
+ ,1.3224
+ ,1.3201
+ ,1.3162
+ ,1.2789
+ ,1.2526
+ ,1.2288
+ ,1.24
+ ,1.2856
+ ,1.2974
+ ,1.2828)
> x <- c(1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155)
> par8 = 'topo.colors'
> par7 = 'Y'
> par6 = 'Y'
> par5 = '0'
> par4 = '0'
> par3 = '0'
> par2 = '50'
> par1 = '50'
> ylab = 'y'
> xlab = 'x'
> main = 'Bivariate Kernel Density'
> par8 <- 'cm.colors'
> par7 <- 'Y'
> par6 <- 'Y'
> par5 <- '0'
> par4 <- '0'
> par3 <- '0'
> par2 <- '50'
> par1 <- '50'
> par1 <- as(par1,'numeric')
> par2 <- as(par2,'numeric')
> par3 <- as(par3,'numeric')
> par4 <- as(par4,'numeric')
> par5 <- as(par5,'numeric')
> library('GenKern')
Loading required package: KernSmooth
KernSmooth 2.23 loaded
Copyright M. P. Wand 1997-2009
> x <- x[!is.na(y)]
> y <- y[!is.na(y)]
> y <- y[!is.na(x)]
> x <- x[!is.na(x)]
> if (par3==0) par3 <- dpik(x)
> if (par4==0) par4 <- dpik(y)
> if (par5==0) par5 <- cor(x,y)
> if (par1 > 500) par1 <- 500
> if (par2 > 500) par2 <- 500
> if (par8 == 'terrain.colors') mycol <- terrain.colors(100)
> if (par8 == 'rainbow') mycol <- rainbow(100)
> if (par8 == 'heat.colors') mycol <- heat.colors(100)
> if (par8 == 'topo.colors') mycol <- topo.colors(100)
> if (par8 == 'cm.colors') mycol <- cm.colors(100)
> postscript(file="/var/wessaorg/rcomp/tmp/1y9q71354640269.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- KernSur(x,y, xgridsize=par1, ygridsize=par2, correlation=par5, xbandwidth=par3, ybandwidth=par4)
> image(op$xords, op$yords, op$zden, col=mycol, axes=TRUE,main=main,xlab=xlab,ylab=ylab)
> if (par6=='Y') contour(op$xords, op$yords, op$zden, add=TRUE)
> if (par7=='Y') points(x,y)
> (r<-lm(y ~ x))

Call:
lm(formula = y ~ x)

Coefficients:
(Intercept)            x  
   0.948805     0.003487  

> abline(r)
> box()
> dev.off()
null device 
          1 
> 
> #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Bandwidth',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'x axis',header=TRUE)
> a<-table.element(a,par3)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'y axis',header=TRUE)
> a<-table.element(a,par4)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Correlation',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'correlation used in KDE',header=TRUE)
> a<-table.element(a,par5)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'correlation(x,y)',header=TRUE)
> a<-table.element(a,cor(x,y))
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/2gean1354640269.tab") 
> 
> try(system("convert tmp/1y9q71354640269.ps tmp/1y9q71354640269.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.148   0.180   1.307