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(8.00,8.10,7.70,7.50,7.60,7.80,7.80,7.80,7.50,7.50,7.10,7.50,7.50,7.60,7.70,7.70,7.90,8.10,8.20,8.20,8.20,7.90,7.30,6.90,6.60,6.70,6.90,7.00,7.10,7.20,7.10,6.90,7.00,6.80,6.40,6.70,6.60,6.40,6.30,6.20,6.50,6.80,6.80,6.40,6.10,5.80,6.10,7.20,7.30,6.90,6.10,5.80,6.20,7.10,7.70,7.90,7.70,7.40,7.50,8.00)
> x <- c(96.80,114.10,110.30,103.90,101.60,94.60,95.90,104.70,102.80,98.10,113.90,80.90,95.70,113.20,105.90,108.80,102.30,99.00,100.70,115.50,100.70,109.90,114.60,85.40,100.50,114.80,116.50,112.90,102.00,106.00,105.30,118.80,106.10,109.30,117.20,92.50,104.20,112.50,122.40,113.30,100.00,110.70,112.80,109.80,117.30,109.10,115.90,96.00,99.80,116.80,115.70,99.40,94.30,91.00,93.20,103.10,94.10,91.80,102.70,82.60)
> par7 = 'Y'
> par6 = 'Y'
> par5 = '0'
> par4 = '0'
> par3 = '0'
> par2 = '50'
> par1 = '50'
> ylab = 'werkloosheid mannen'
> xlab = 'economische groei'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> par1 <- as(par1,'numeric')
> par2 <- as(par2,'numeric')
> par3 <- as(par3,'numeric')
> par4 <- as(par4,'numeric')
> par5 <- as(par5,'numeric')
> library('GenKern')
Loading required package: KernSmooth
KernSmooth 2.22 installed
Copyright M. P. Wand 1997
> if (par3==0) par3 <- dpik(x)
> if (par4==0) par4 <- dpik(y)
> if (par5==0) par5 <- cor(x,y)
> if (par1 > 500) par1 <- 500
> if (par2 > 500) par2 <- 500
> postscript(file="/var/www/rcomp/tmp/1ki671258015799.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- KernSur(x,y, xgridsize=par1, ygridsize=par2, correlation=par5, xbandwidth=par3, ybandwidth=par4)
> image(op$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  
    9.66287     -0.02380  

> 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/25wcx1258015799.tab") 
> 
> system("convert tmp/1ki671258015799.ps tmp/1ki671258015799.png")
> 
> 
> proc.time()
   user  system elapsed 
   0.58    0.48    1.02