R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> y <- c(15,13,14,14,8,7,6,3,1,1,5,0,3,8,16,14,12,14,16,18,22,22,19,21,17,24,23,23,24,26,27,27,24,26,24,17,26,27,23,23,23,23,19,21,20,23,24,20,16,17,11,15,14,14,14,20,23,22,19,19,18,19,23,23,21,25,19,21,22,24,22,19,19,10,20,14,12,15,16,14,7,12,16,17,21,22,22,22,24,25,26,25,27,26,24,17,7,11,21,25,29,29,28,28,32,33,38,40,39,39,35,41,38,40,38,37,38,36,34,33)
> x <- c(91.02,91.19,91.53,91.88,92.06,92.32,92.67,92.85,92.82,93.46,93.23,93.54,93.29,93.20,93.60,93.81,94.62,95.22,95.38,95.31,95.30,95.57,95.42,95.53,95.33,95.90,96.06,96.31,96.34,96.49,96.22,96.53,96.50,96.77,96.66,96.58,96.63,97.06,97.73,98.01,97.76,97.49,97.77,97.96,98.23,98.51,98.19,98.37,98.31,98.60,98.97,99.11,99.64,100.03,99.98,100.32,100.44,100.51,101.00,100.88,100.55,100.83,101.51,102.16,102.39,102.54,102.85,103.47,103.57,103.69,103.50,103.47,103.45,103.48,103.93,103.89,104.40,104.79,104.77,105.13,105.26,104.96,104.75,105.01,105.15,105.20,105.77,105.78,106.26,106.13,106.12,106.57,106.44,106.54,107.10,108.10,108.40,108.84,109.62,110.42,110.67,111.66,112.28,112.87,112.18,112.36,112.16,111.49,111.25,111.36,111.74,111.10,111.33,111.25,111.04,110.97,111.31,111.02,111.07,111.36)
> par7 = 'Y'
> par6 = 'Y'
> par5 = '0'
> par4 = '0'
> par3 = '0'
> par2 = '50'
> par1 = '50'
> ylab = 'Indicator conumentenvertrouwen'
> xlab = 'Werkloosheidspercentage'
> 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 2.23 loaded
Copyright M. P. Wand 1997-2009

Loading GenKern version 1.1
Copyright Lucy and Aykroyd 2000
last update October 2004
requires KernSmooth


Package GenKern installed

> 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/html/rcomp/tmp/1bk881260872119.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  
   -73.3019       0.9266  

> abline(r)
> box()
> dev.off()
null device 
          1 
> 
> #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/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/html/rcomp/tmp/2da711260872119.tab") 
> 
> try(system("convert tmp/1bk881260872119.ps tmp/1bk881260872119.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.619   0.271   1.247