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(6.3,6.2,6.3,6.5,6.6,6.4,6.2,6.3,6.6,7.1,7.2,7.3,7.3,7.3,7.4,7.3,7.4,7.4,7.6,7.6,7.7,7.7,7.8,7.8,8.0,8.1,8.1,8.2,8.1,8.1,8.1,8.0,8.2,8.4,8.4,8.5,8.6,8.5,8.3,7.8,7.8,8.0,8.6,8.9,8.9,8.6,8.3,8.3,8.3,8.4,8.5,8.4,8.6,8.5,8.5,8.5,8.5,8.5,8.5,8.5,8.5,8.6,8.6,8.6,8.6,8.4,8.0,7.9,8.0,8.0,8.0,8.0,7.9,7.9,7.9,8.0,7.9,7.5,7.2,7.0,6.9,7.1,7.1,7.2,7.1,6.9,6.8,6.7,6.7,6.9,7.3,7.4,7.3,7.1,7.0,7.1,7.5,7.7,7.8,7.7,7.7,7.8,8.0,8.1,8.1,8.0,8.1,8.2,8.3,8.4,8.5,8.5,8.5,8.5,8.5,8.3,8.2,8.1,7.9,7.6,7.3,7.1,7.0,7.0,7.0,7.0,6.9,6.8,6.7)
> x <- c(617,614,647,580,614,636,388,356,639,753,611,639,630,586,695,552,619,681,421,307,754,690,644,643,608,651,691,627,634,731,475,337,803,722,590,724,627,696,825,677,656,785,412,352,839,729,696,641,695,638,762,635,721,854,418,367,824,687,601,676,740,691,683,594,729,731,386,331,706,715,657,653,642,643,718,654,632,731,392,344,792,852,649,629,685,617,715,715,629,916,531,357,917,828,708,858,775,785,1006,789,734,906,532,387,991,841,892,782,811,792,978,773,796,946,594,438,1023,868,791,760,779,852,1001,734,996,869,599,426,1138)
> par8 = 'terrain.colors'
> 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: Dr. Ian E. Holliday
> #To cite this work: Ian E. Holliday, 2011, YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: 
> #Technical description: 
> par1 <- as(par1,'numeric')
> par2 <- as(par2,'numeric')
> par3 <- as(par3,'numeric')
> par4 <- as(par4,'numeric')
> par5 <- as(par5,'numeric')
> library('GenKern')
Loading required package: KernSmooth
KernSmooth 2.23 loaded
Copyright M. P. Wand 1997-2009
> if (par3==0) par3 <- dpik(x)
> if (par4==0) par4 <- dpik(y)
> if (par5==0) par5 <- cor(x,y)
> if (par1 > 500) par1 <- 500
> if (par2 > 500) par2 <- 500
> if (par8 == 'terrain.colors') mycol <- terrain.colors(100)
> if (par8 == 'rainbow') mycol <- rainbow(100)
> if (par8 == 'heat.colors') mycol <- heat.colors(100)
> if (par8 == 'topo.colors') mycol <- topo.colors(100)
> if (par8 == 'cm.colors') mycol <- cm.colors(100)
> postscript(file="/var/wessaorg/rcomp/tmp/1z35v1322827173.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- KernSur(x,y, xgridsize=par1, ygridsize=par2, correlation=par5, xbandwidth=par3, ybandwidth=par4)
> image(op$xords, op$yords, op$zden, col=mycol, 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  
  7.6006516    0.0002187  

> 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/2nfok1322827173.tab") 
> 
> try(system("convert tmp/1z35v1322827173.ps tmp/1z35v1322827173.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  4.979   0.154   5.135