R version 2.7.2 (2008-08-25)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> y <- c(80.6,104.1,108.2,93.4,71.9,94.1,94.9,96.4,91.1,84.4,86.4,88,75.1,109.7,103,82.1,68,96.4,94.3,90,88,76.1,82.5,81.4,66.5,97.2,94.1,80.7,70.5,87.8,89.5,99.6,84.2,75.1,92,80.8,73.1,99.8,90,83.1,72.4,78.8,87.3,91,80.1,73.6,86.4,74.5,71.2,92.4,81.5,85.3,69.9,84.2,90.7,100.3,79.4,84.8,92.9,81.6,76,98.7,89.1,88.7,67.1,93.6,97,100.8,80.1,80.7,89.4,81.5,73.6,90.9,97.3,84.3,65.6,87.3,90.5,82.4,80.4)
> x <- c(107.2,107,119,110.4,101.7,102.4,98.8,105.6,104.4,106.3,107.2,108.5,106.9,114.2,125.9,110.6,110.5,106.7,104.7,107.4,109.8,103.4,114.8,114.3,109.6,118.3,127.3,112.3,114.9,108.2,105.4,122.1,113.5,110,125.3,114.3,115.6,127.1,123,122.2,126.4,112.7,105.8,120.9,116.3,115.7,127.9,108.3,121.1,128.6,123.1,127.7,126.6,118.4,110,129.6,115.8,125.9,128.4,114,125.6,128.5,136.6,133.1,124.6,123.5,117.2,135.5,124.8,127.8,133.1,125.7,128.4,131.9,146.3,140.6,129.5,132.4,125.9,126.9,135.8)
> par7 = 'Y'
> par6 = 'Y'
> par5 = '0'
> par4 = '0'
> par3 = '0'
> par2 = '50'
> par1 = '50'
> ylab = 'Textiel_kleding_leer'
> xlab = 'Voedings_genotsmiddelen'
> 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

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/122ao1226313744.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  
   76.07951      0.08269  

> 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/2v85n1226313744.tab") 
> 
> system("convert tmp/122ao1226313744.ps tmp/122ao1226313744.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.799   0.286   0.876