R version 2.13.0 (2011-04-13)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> y <- c(1024,768,700,768,800,1024,800,768,800,1024,800,800,1024,949,900,1200,800,800,768,735,800,845,900,768,768,768,800,1440,768,768,1024,800,900,800,900,768,900,857,800,900,800,768,768,880,768,735,1200,785,800,800,900,1050,900,768,641,1024,800,800,800,800,900,800,864,1024,800,900,800,1024,900,800,800,900,800,1024,900,768,768,800,800,900,768,800,768,800,900,800,800,880,800,900,900,1050,900,900,550,800,990,800,800,800,768,768,900,800,1024,1080,768,768,900,698,900,737,768,640,800,900,800,800,800,900,800,768,768,864,768,768,768,1050,1050,800,768,768,900,768,800,800,800,768,800)
> x <- c(1280,1024,1120,1024,1280,1280,1280,1024,1280,1280,1280,1280,1280,1688,1440,1600,1280,1280,1280,1176,1280,1503,1440,1366,1280,1024,1280,2560,1280,1024,1280,1280,1440,1280,1440,1024,1440,1143,1280,1440,1280,1366,1024,1408,1366,1176,1920,1257,1280,1280,1440,1680,1440,1024,1140,1280,1280,1280,1280,1280,1440,1280,1152,1280,1280,1440,1280,1280,1440,1280,1280,1440,1280,1280,1600,1024,1366,1280,1280,1440,1366,1280,1024,1280,1440,1280,1280,1408,1280,1600,1600,1680,1440,1440,917,1280,1760,1280,1280,1280,1024,1366,1440,1280,1280,1920,1024,1024,1600,1117,1440,983,1024,1024,1280,1440,1280,1280,1280,1440,1280,1024,1024,1152,1280,1024,1366,1680,1680,1280,1366,1024,1440,1024,1280,1280,1280,1024,1280)
> par8 = 'terrain.colors'
> par7 = 'Y'
> par6 = 'Y'
> par5 = '0'
> par4 = '0'
> par3 = '0'
> par2 = '50'
> par1 = '50'
> ylab = 'y'
> xlab = 'x'
> main = 'Bivariate Kernel Density'
> 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
> 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/1xswq1321438291.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  
   308.0495       0.4098  

> 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/2hyfa1321438291.tab") 
> 
> try(system("convert tmp/1xswq1321438291.ps tmp/1xswq1321438291.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  5.383   0.178   5.591