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ISBN 3-900051-07-0

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> y <- c(91.25,91.5,91.68,91.81,91.84,91.93,92.08,92.11,92.26,92.28,92.39,92.46,92.82,93.16,93.33,93.51,93.56,93.67,93.76,93.88,94.01,94.21,94.31,94.4,94.9,95.31,95.52,95.68,95.91,95.97,96.15,96.34,96.42,96.54,96.72,96.81,97.19,97.5,97.71,97.86,98.04,98.2,98.25,98.41,98.56,98.62,98.75,98.71,99.05,99.52,99.71,99.8,100.01,99.99,100.12,100.15,100.27,100.42,100.43,100.5,100.95,101.26,101.42,101.68,101.75,101.89,102.07,102.22,102.45,102.62,102.67,102.86,104.78,104.87,105.06,105.14,105.32,105.54,105.68,105.77,106.07,106.03,106.13,106.28,106.61,106.74,107.01,107.1,107.28,107.4,107.59,107.69,107.78)
> x <- c(90.49,90.65,90.95,91.19,91.07,91.15,91.81,91.95,91.62,91.27,91.4,91.76,91.99,92.34,92.3,92.85,92.94,93.26,94.21,94.08,93.98,94.23,94.93,95.09,95.37,96.23,96.2,95.43,95.63,95.96,96.51,96.65,96.21,95.54,95.96,96.41,96.32,96.94,96.97,97.63,97.33,97.66,98.18,98.22,97.91,97.93,98.4,98.78,98.73,99.4,99.04,99.68,99.62,99.8,100.65,100.59,100.46,100.57,100.75,100.7,101.44,101.77,101.79,101.52,101.83,102.23,103.04,102.81,102.48,102.81,103.21,103.21,102.92,103.48,103.18,103.39,103.5,103.73,104.42,104.53,104.09,104.23,104.23,104.54,104.65,105.48,105.61,105.74,105.86,105.81,106.49,106.43,105.73)
> par7 = 'Y'
> par6 = 'Y'
> par5 = '0'
> par4 = '0'
> par3 = '0'
> par2 = '50'
> par1 = '50'
> ylab = 'Huur'
> xlab = 'Diensten'
> main = 'Bivariate Kernel Density'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: WESSA, (2007), Bivariate Kernel Density Estimation (v1.0.5) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_bidensity.wasp/
> #Source of accompanying publication: Lucy, D. Aykroyd, R.G. & Pollard, A.M.(2002) Non-parametric calibration for age estimation. Applied Statistics 51(2): 183-196
> #Technical description: This code makes use of the GenKern package. The dataset is based on http://exploringdata.cqu.edu.au/datasets/chirps.tab : x = temperature (degrees F) and y = chirps per second of crickets (insects).
> 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/1hv9i1194252295.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  
     -4.006        1.046  

> abline(r)
> box()
> dev.off()
null device 
          1 
> 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/2atwr1194252295.tab") 
> 
> system("convert tmp/1hv9i1194252295.ps tmp/1hv9i1194252295.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.569   0.477   1.623