R version 2.13.0 (2011-04-13)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> y <- c(0.0213,0.0218,0.0290,0.0263,0.0267,0.0181,0.0133,0.0088,0.0128,0.0126,0.0126,0.0129,0.0110,0.0137,0.0121,0.0174,0.0176,0.0148,0.0104,0.0162,0.0149,0.0179,0.0180,0.0158,0.0186,0.0174,0.0159,0.0126,0.0113,0.0192,0.0261,0.0226,0.0241,0.0226,0.0203,0.0286,0.0255,0.0227,0.0226,0.0257,0.0307,0.0276,0.0251,0.0287,0.0314,0.0311,0.0316,0.0247,0.0257,0.0289,0.0263,0.0238,0.0169,0.0196,0.0219,0.0187,0.0160,0.0163,0.0122,0.0121,0.0149,0.0164,0.0166,0.0177,0.0182,0.0178,0.0128,0.0129,0.0137,0.0112,0.0151,0.0224,0.0294,0.0309,0.0346,0.0364,0.0439,0.0415,0.0521,0.0580,0.0591,0.0539,0.0546,0.0472,0.0314,0.0263,0.0232,0.0193,0.0062,0.0060,-0.0037,-0.0110,-0.0168,-0.0078,-0.0119,-0.0097,-0.0012,0.0026,0.0062,0.0070,0.0166,0.0180,0.0227,0.0246,0.0257,0.0232,0.0291,0.0301,0.0286,0.0310,0.0322,0.0339,0.0352,0.0341,0.0335,0.0367,0.0375,0.0360,0.0355,0.0357)
> x <- c(0.072,0.073,0.073,0.073,0.074,0.073,0.074,0.074,0.076,0.076,0.077,0.077,0.078,0.078,0.080,0.081,0.081,0.082,0.081,0.081,0.081,0.080,0.082,0.084,0.084,0.085,0.086,0.085,0.083,0.078,0.078,0.080,0.086,0.089,0.089,0.086,0.083,0.083,0.083,0.084,0.085,0.084,0.086,0.085,0.085,0.085,0.085,0.085,0.085,0.085,0.085,0.086,0.086,0.086,0.086,0.084,0.080,0.079,0.080,0.080,0.080,0.080,0.079,0.079,0.079,0.080,0.079,0.075,0.072,0.070,0.069,0.071,0.071,0.072,0.071,0.069,0.068,0.067,0.067,0.069,0.073,0.074,0.073,0.071,0.070,0.071,0.075,0.077,0.078,0.077,0.077,0.078,0.080,0.081,0.081,0.080,0.081,0.082,0.083,0.084,0.085,0.085,0.085,0.085,0.085,0.083,0.082,0.081,0.079,0.076,0.073,0.071,0.070,0.070,0.070,0.070,0.069,0.068,0.067,0.066)
> par8 = 'terrain.colors'
> par7 = 'Y'
> par6 = 'Y'
> par5 = '0'
> par4 = '0'
> par3 = '0'
> par2 = '50'
> par1 = '50'
> ylab = 'Inflatie'
> xlab = 'Werkloosheidsgraad'
> main = 'Bivariate Kernel Density'
> 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
> 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/wessaorg/rcomp/tmp/1mrwy1324415930.ps",horizontal=F,onefile=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  
    0.08896     -0.85765  

> abline(r)
> box()
> dev.off()
null device 
          1 
> 
> #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/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/wessaorg/rcomp/tmp/2cq2m1324415930.tab") 
> 
> try(system("convert tmp/1mrwy1324415930.ps tmp/1mrwy1324415930.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  5.533   0.178   5.704