R version 2.8.1 (2008-12-22)
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ISBN 3-900051-07-0

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> y <- c(6.9,6.8,6.7,6.6,6.5,6.5,7.0,7.5,7.6,7.6,7.6,7.8,8.0,8.0,8.0,7.9,7.9,8.0,8.5,9.2,9.4,9.5,9.5,9.6,9.7,9.7,9.6,9.5,9.4,9.3,9.6,10.2,10.2,10.1,9.9,9.8,9.8,9.7,9.5,9.3,9.1,9.0,9.5,10.0,10.2,10.1,10.0,9.9,10.0,9.9,9.7,9.5,9.2,9.0,9.3,9.8,9.8,9.6,9.4,9.3,9.2,9.2,9.0,8.8,8.7,8.7,9.1,9.7,9.8,9.6,9.4,9.4,9.5,9.4,9.3,9.2,9.0,8.9,9.2,9.8,9.9,9.6,9.2,9.1,9.1,9.0,8.9,8.7,8.5,8.3,8.5,8.7,8.4,8.1,7.8,7.7,7.5,7.2,6.8,6.7,6.4,6.3,6.8,7.3,7.1,7.0,6.8,6.6,6.3,6.1,6.1,6.3,6.3,6.0,6.2,6.4,6.8,7.5,7.5,7.6,7.6,7.4,7.3,7.1,6.9,6.8,7.5,7.6,7.8,8.0,8.1,8.2,8.3,8.2,8.0,7.9,7.6,7.6,8.3,8.4,8.4,8.4,8.4,8.6,8.9,8.8,8.3,7.5,7.2,7.4,8.8,9.3,9.3,8.7,8.2,8.3,8.5,8.6,8.5,8.2,8.1,7.9,8.6,8.7,8.7,8.5,8.4,8.5,8.7,8.7,8.6,8.5,8.3,8.0,8.2,8.1,8.1,8.0,7.9,7.9)
> x <- c(4.8,4.8,4.7,4.7,4.7,4.6,5.0,5.4,5.5,5.6,5.6,5.8,6.0,6.1,6.1,6.0,6.0,6.1,6.5,7.1,7.4,7.4,7.5,7.6,7.8,7.8,7.7,7.6,7.5,7.3,7.6,8.0,8.8,7.9,7.8,7.7,7.8,7.7,7.5,7.3,7.1,7.0,7.3,7.8,7.9,7.9,7.8,7.8,7.9,7.8,7.6,7.4,7.2,6.9,7.1,7.5,7.6,7.4,7.3,7.2,7.3,7.2,7.1,7.0,6.9,6.8,7.2,7.6,7.7,7.6,7.5,7.5,7.6,7.6,7.6,7.5,7.3,7.2,7.4,8.0,8.2,8.0,7.7,7.7,7.8,7.8,7.7,7.5,7.3,7.1,7.1,7.2,6.8,6.6,6.4,6.4,6.5,6.3,5.9,5.5,5.2,4.9,5.4,5.8,5.7,5.6,5.5,5.4,5.4,5.4,5.5,5.8,5.7,5.4,5.6,5.8,6.2,6.8,6.7,6.7,6.4,6.3,6.3,6.4,6.3,6.0,6.3,6.3,6.6,7.5,7.8,7.9,7.8,7.6,7.5,7.6,7.5,7.3,7.6,7.5,7.6,7.9,7.9,8.1,8.2,8.0,7.5,6.8,6.5,6.6,7.6,8.0,8.1,7.7,7.5,7.6,7.8,7.8,7.8,7.5,7.5,7.1,7.5,7.5,7.6,7.7,7.7,7.9,8.1,8.2,8.2,8.2,7.9,7.3,6.9,6.6,6.7,6.9,7.0,7.1)
> par7 = 'Y'
> par6 = 'Y'
> par5 = '0'
> par4 = '0'
> par3 = '0'
> par2 = '50'
> par1 = '50'
> ylab = 'y'
> xlab = 'x'
> main = 'Bivariate Kernel Density'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> par1 <- as(par1,'numeric')
> par2 <- as(par2,'numeric')
> par3 <- as(par3,'numeric')
> par4 <- as(par4,'numeric')
> par5 <- as(par5,'numeric')
> library('GenKern')
Loading required package: KernSmooth
KernSmooth 2.22 installed
Copyright M. P. Wand 1997
> if (par3==0) par3 <- dpik(x)
> if (par4==0) par4 <- dpik(y)
> if (par5==0) par5 <- cor(x,y)
> if (par1 > 500) par1 <- 500
> if (par2 > 500) par2 <- 500
> postscript(file="/var/www/rcomp/tmp/1w8fi1257794937.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- KernSur(x,y, xgridsize=par1, ygridsize=par2, correlation=par5, xbandwidth=par3, ybandwidth=par4)
> image(op$xords, op$yords, op$zden, col=terrain.colors(100), 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  
     1.6551       0.9628  

> abline(r)
> box()
> dev.off()
null device 
          1 
> 
> #Note: the /var/www/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/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/www/rcomp/tmp/2xrtr1257794937.tab") 
> system("convert tmp/1w8fi1257794937.ps tmp/1w8fi1257794937.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.520   0.510   0.952