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(2180995.35,2191117.36,2219483.98,2217992.79,2209675.04,2204327.56,2217758.16,2218743.78,2231760.73,2242745.96,2269344.45,2277708.79,2281332.03,2293500.47,2319792.57,2320736.3,2303874.92,2291488.94,2299751.72,2313222.41,2314078.67,2325555.72,2353668.83,2363959.25,2366135.5,2388164.24,2415043.36,2411619.15,2400100.64,2398536.15,2404054.33,2421077.9,2430396.04,2445739.91,2484702.11,2499887.85,2506371.6,2526847.52,2551947.88,2549403.15,2533567.74,2529577.21,2541049.08,2547421.64,2555613.49,2566290.53,2580919.67,2587978.57,2580098.72,2579086.96,2592127.5,2586944.73,2548600.43,2516994.05,2500125.23,2493360.56,2475571.42,2460157.93,2467502.24)
> x <- c(24710.92,23983.59,24434.12,23939.23,24290.02,24117.63,23724.64,22989.44,23716.86,25058.83,25059,23579.18,24209.03,24173.67,24706.39,24522.12,24766.15,25940.04,24985.78,24788,26544.56,28019.08,27285.71,29161.16,28357.73,27979.91,27543.95,27397.53,27623.59,27736.07,27803.79,27779.55,27524.13,27582.72,28638.95,28825.78,30132.61,29326.85,29075.62,28230.63,28118.36,28173.29,27396.91,24578.55,24504.77,27582.37,26920.31,25426.68,25390.8,25041.16,22769.42,22921.89,26267.63,27364.67,28382.59,29132.81,28214.51,28865.73,24405.35)
> 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/freestat/rcomp/tmp/1n0hk1257493341.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  
  1.630e+06    2.946e+01  

> abline(r)
> box()
> dev.off()
null device 
          1 
> 
> #Note: the /var/www/html/freestat/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/freestat/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/freestat/rcomp/tmp/2dih31257493341.tab") 
> 
> system("convert tmp/1n0hk1257493341.ps tmp/1n0hk1257493341.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.928   0.410   1.144