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(1202454.6,1201423.4,1505916,1513377.6,1977605.3,1873829.6,1424049.1,1322740,1584825.5,1680460.3,1648573.7,3095468.7,1307982.9,1367588.9,1572718.3,1611602.9,1641196.4,1845262.4,1464237.6,1402385.7,2077099.8,1691129.6,1729012.7,3347792.1,1365087.7,1545460,1844355.1,1775549.8,1721779.2,2128726.1,1664319.9,1769471.4,1904578.4,1872042.3,1802181,3222199.4,1491414.2,1658519.2,2079206.9,1748767.4,2084447.4,2067181.6,1718122.8,1782337.1,1958118.4,2028681.3,2076128.1,3383873,1870369,1654852.9,2074338.3,1888653.7,1991137.8,2168237.9,1867424.1,1842359.6,1927476.3,2065555.4,2455608.5,3336170.9)
> x <- c(35810356.5,35492936.3,38937434.1,40059102.8,37708710.2,41570965.7,36333563,34181220.1,42593543.9,43119727.6,38497690.9,45473273.4,38399780.4,38882302.6,44051120.6,41677559.9,40699203.5,44150027.6,38225518.7,35447405.7,43075518.3,42302792,39743541.7,44670641.2,37123384,37668266.4,46117528.8,42273156.4,39404153.2,45799994.5,38602505.2,39454830.1,47427901.4,46497980.9,45057149.4,50615569.2,43033396.2,46013056.5,54222266.3,46417306.4,51046271.8,51201279.6,43475288.7,44968981.1,53939345.4,54549319.7,54072107.3,58434230.1,51158751,50039368,57872617.4,51642978.8,54534465.9,56094697.8,48189983.1,47492381,52987449.1,55719803.5,53922860.5,54931231.9)
> par7 = 'Y'
> par6 = 'Y'
> par5 = '0'
> par4 = '0'
> par3 = '0'
> par2 = '50'
> par1 = '50'
> ylab = 'y'
> xlab = 'x'
> 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/1dfuu1228226782.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  
 -2.356e+05    4.683e-02  

> 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/2t32p1228226782.tab") 
> 
> system("convert tmp/1dfuu1228226782.ps tmp/1dfuu1228226782.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.586   0.259   0.801