R version 2.8.1 (2008-12-22)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> y <- c(95.40,99.31,101.80,100.53,102.28,101.89,98.08,98.98,100.02,100.58,100.67,100.46,98.47,102.01,103.28,103.70,104.64,106.31,107.16,108.10,104.90,105.27,107.37,110.01,114.11,116.22,118.06,119.35,120.48,117.02,121.66,127.88,128.58,130.42,126.28,129.31,132.59,125.91,127.88,119.59,118.46,116.31,120.72,122.21,115.00,107.99,109.98,106.01,87.58,82.17,81.99,80.08,73.35,69.01,76.23,80.10,81.96,82.79,89.42,91.90)
> x <- c(90.21,93.24,95.60,97.58,100.81,101.65,102.08,100.18,101.36,103.46,106.59,107.24,107.84,110.08,114.34,120.00,124.78,128.21,127.48,124.39,116.83,121.13,126.39,129.92,135.43,137.43,140.42,145.42,147.35,142.58,150.25,153.71,151.23,149.32,137.53,140.60,145.14,134.34,134.72,125.81,121.77,120.24,126.24,124.39,114.68,99.24,99.71,96.94,71.92,65.92,60.96,62.35,59.26,54.65,61.01,67.15,66.42,67.77,75.05,79.95)
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> par1 <- as(par1,'numeric')
> par2 <- as(par2,'numeric')
> par3 <- as(par3,'numeric')
> par4 <- as(par4,'numeric')
> par5 <- as(par5,'numeric')
> library('GenKern')
Loading required package: KernSmooth
KernSmooth 2.22 installed
Copyright M. P. Wand 1997
> if (par3==0) par3 <- dpik(x)
> if (par4==0) par4 <- dpik(y)
> if (par5==0) par5 <- cor(x,y)
> if (par1 > 500) par1 <- 500
> if (par2 > 500) par2 <- 500
> postscript(file="/var/www/rcomp/tmp/1ntrh1257772237.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- KernSur(x,y, xgridsize=par1, ygridsize=par2, correlation=par5, xbandwidth=par3, ybandwidth=par4)
> image(op$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  
    46.9090       0.5311  

> 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/2ewxi1257772237.tab") 
> 
> system("convert tmp/1ntrh1257772237.ps tmp/1ntrh1257772237.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.620   0.370   0.943