R version 2.15.1 (2012-06-22) -- "Roasted Marshmallows"
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(2,NA,NA,4,NA,NA,NA,NA,NA,0,NA,0,-4,4,4,NA,0,-1,0,NA,NA,NA,1,NA,NA,0,3,NA,-1,NA,NA,NA,NA,NA,NA,4,NA,NA,3,NA,NA,1,0,-2,-3,-4,NA,2,NA,NA,2,NA,-4,3,NA,NA,NA,NA,NA,NA,2,2,0,NA,5,NA,-2,0,NA,NA,-2,-3,NA,2,NA,NA,NA,2,NA,2,0,4,4,NA,NA,NA,2,NA,NA,NA,2,NA,NA,-4,3,NA,NA,3,NA,2,NA,NA,-1,-3,NA,NA,NA,0,NA,1,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,-3,NA,NA,3,NA,NA,NA,0,0,NA,NA,0,NA,NA,3,-3,NA,NA,NA,NA,NA,NA,NA,0,-4,NA,2,-1,NA,NA,NA,3,NA,NA,NA,NA,NA,NA,NA,2,5,NA,NA,2,NA,NA,NA,NA,NA,NA,NA,-2,NA,0,NA,NA,3,-2,0,NA,NA,NA,NA,6,-3,NA,NA,NA,NA,3,NA,0,NA,NA,NA,-2,NA,1,NA,NA,NA,NA,NA,0,NA,NA,NA,NA,NA,NA,NA,2,NA,NA,NA,NA,NA,NA,NA,NA,2,NA,-3,NA,-2,NA,NA,NA,NA,NA,1,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,-4,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,NA,NA,NA,1,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,NA,NA,NA,NA,NA,NA,NA,NA,NA)
> x <- c(26,31,27,NA,NA,NA,NA,NA,NA,27,NA,23,NA,27,NA,NA,17,25,27,NA,NA,NA,26,NA,NA,23,27,NA,20,25,NA,NA,NA,NA,NA,24,NA,NA,NA,NA,NA,23,20,25,NA,26,26,20,21,NA,28,NA,26,NA,NA,NA,NA,23,NA,NA,30,12,35,25,NA,NA,NA,NA,NA,NA,NA,25,NA,18,NA,NA,NA,NA,NA,NA,20,24,NA,NA,26,NA,30,NA,23,NA,27,NA,26,13,18,27,NA,NA,NA,31,28,28,29,29,NA,NA,NA,23,NA,28,NA,NA,NA,NA,20,NA,NA,24,21,30,25,22,NA,23,NA,NA,NA,26,23,NA,NA,32,NA,26,18,NA,NA,NA,12,NA,NA,34,NA,33,NA,NA,28,26,NA,NA,24,24,25,23,NA,24,NA,NA,NA,22,NA,NA,24,30,24,NA,NA,NA,27,28,31,19,29,21,NA,NA,NA,29,25,17,NA,NA,NA,29,NA,NA,NA,NA,NA,NA,NA,27,NA,17,NA,27,NA,25,NA,NA,NA,NA,NA,14,NA,NA,NA,27,22,NA,NA,27,NA,NA,29,22,NA,26,NA,NA,25,22,23,NA,NA,NA,NA,21,NA,NA,25,31,NA,NA,27,28,23,NA,26,NA,NA,NA,NA,NA,NA,NA,23,13,NA,NA,22,25,NA,16,12,NA,NA,NA,NA,NA,NA,NA,NA,20,NA,NA,20,23,23,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,24,NA,NA,NA,NA,24,NA,NA,NA,NA)
> 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'
> par8 <- 'terrain.colors'
> par7 <- 'Y'
> par6 <- 'Y'
> par5 <- '0'
> par4 <- '0'
> par3 <- '0'
> par2 <- '50'
> par1 <- '50'
> #'GNU S' R Code compiled by R2WASP v. 1.2.291 ()
> #Author: root
> #To cite this work: Wessa P. (2012), Bivariate Kernel Density Estimation (v1.0.9) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/Ian.Holliday/rwasp_bidensity.wasp/
> #Source of accompanying publication: 
> #
> par1 <- as(par1,'numeric')
> par2 <- as(par2,'numeric')
> par3 <- as(par3,'numeric')
> par4 <- as(par4,'numeric')
> par5 <- as(par5,'numeric')
> library('GenKern')
Loading required package: KernSmooth
KernSmooth 2.23 loaded
Copyright M. P. Wand 1997-2009
> x <- x[!is.na(y)]
> y <- y[!is.na(y)]
> y <- y[!is.na(x)]
> x <- x[!is.na(x)]
> if (par3==0) par3 <- dpik(x)
> if (par4==0) par4 <- dpik(y)
> if (par5==0) par5 <- cor(x,y)
> if (par1 > 500) par1 <- 500
> if (par2 > 500) par2 <- 500
> if (par8 == 'terrain.colors') mycol <- terrain.colors(100)
> if (par8 == 'rainbow') mycol <- rainbow(100)
> if (par8 == 'heat.colors') mycol <- heat.colors(100)
> if (par8 == 'topo.colors') mycol <- topo.colors(100)
> if (par8 == 'cm.colors') mycol <- cm.colors(100)
> postscript(file="/var/fisher/rcomp/tmp/1o2a31349433356.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- KernSur(x,y, xgridsize=par1, ygridsize=par2, correlation=par5, xbandwidth=par3, ybandwidth=par4)
> image(op$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  
   -0.45379      0.03576  

> abline(r)
> box()
> dev.off()
null device 
          1 
> 
> #Note: the /var/fisher/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/fisher/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/fisher/rcomp/tmp/2qe8y1349433356.tab") 
> 
> try(system("convert tmp/1o2a31349433356.ps tmp/1o2a31349433356.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.082   0.149   1.210