R version 2.8.0 (2008-10-20)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> y <- c(101.73,101.63,101.43,101.34,101.01,100.89,100.93,100.77,100.3,99.86,99.71,99.93,99.88,99.92,99.87,99.63,100.05,99.88,100.11,100.05,100.07,100.2,100.21,99.76,99.41,99.24,99.65,99.7,99.79,99.84,101,101.62,101.98,101.46,102.28,102.14,102.02,102.21,101.61,102.38,102.19,102.04,101.76,101.9,102.01,102.37,103.04,103.42,103.76,104.41,104.75,104.28,103.89,104.09,103.8,105.03,105.86,106.04,106.03,106.13,107.21,107.66,108.08,108.76,108.26,108.71,108.65,108.61,108.86,109.54,108.22,108.77,109.9,110.13,109.6,110.42,110.6,109.73,110.72,111.08,111.14,111.01,110.56,111.57)
> x <- c(101.02,100.67,100.47,100.38,100.33,100.34,100.37,100.39,100.21,100.21,100.22,100.28,100.25,100.25,100.21,100.16,100.18,100.1,99.96,99.88,99.88,99.86,99.84,99.8,99.82,99.81,99.92,100.03,99.99,100.02,100.01,100.13,100.33,100.13,99.96,100.05,99.83,99.8,100.01,100.1,100.13,100.16,100.41,101.34,101.65,101.85,102.07,102.12,102.14,102.21,102.28,102.19,102.33,102.54,102.44,102.78,102.9,103.08,102.77,102.65,102.71,103.29,102.86,103.45,103.72,103.65,103.83,104.45,105.14,105.07,105.31,105.19,105.3,105.02,105.17,105.28,105.45,105.38,105.8,105.96,105.08,105.11,105.61,105.5)
> par7 = 'Y'
> par6 = 'Y'
> par5 = '0'
> par4 = '0'
> par3 = '0'
> par2 = '50'
> par1 = '50'
> ylab = 'pasta'
> xlab = 'suiker'
> 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/1qklu1228837168.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  
    -83.903        1.844  

> 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/2056h1228837168.tab") 
> 
> system("convert tmp/1qklu1228837168.ps tmp/1qklu1228837168.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.593   0.260   1.520