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Data X:
31/08/2001 30/09/2001 31/10/2001 30/11/2001 31/12/2001 31/01/2002 28/02/2002 31/03/2002 30/04/2002 31/05/2002 30/06/2002 31/07/2002 31/08/2002 30/09/2002 31/10/2002 30/11/2002 31/12/2002 31/01/2003 28/02/2003 31/03/2003 30/04/2003 31/05/2003 30/06/2003 31/07/2003 31/08/2003 30/09/2003 31/10/2003 30/11/2003 31/12/2003 31/01/2004 29/02/2004 31/03/2004 30/04/2004 31/05/2004 30/06/2004 31/07/2004 31/08/2004 30/09/2004 31/10/2004 30/11/2004 31/12/2004 31/01/2005 28/02/2005 31/03/2005 30/04/2005 31/05/2005 30/06/2005 31/07/2005 31/08/2005 30/09/2005 31/10/2005 30/11/2005 31/12/2005 31/01/2006 28/02/2006 31/03/2006 30/04/2006 31/05/2006 30/06/2006 31/07/2006 31/08/2006 30/09/2006 31/10/2006 30/11/2006 31/12/2006 31/01/2007 28/02/2007 31/03/2007 30/04/2007 31/05/2007 30/06/2007 31/07/2007 31/08/2007 30/09/2007 31/10/2007 30/11/2007 31/12/2007 31/01/2008 29/02/2008 31/03/2008 30/04/2008 31/05/2008 30/06/2008 31/07/2008 31/08/2008
Data Y:
97.8 107.4 117.5 105.6 97.4 99.5 98 104.3 100.6 101.1 103.9 96.9 95.5 108.4 117 103.8 100.8 110.6 104 112.6 107.3 98.9 109.8 104.9 102.2 123.9 124.9 112.7 121.9 100.6 104.3 120.4 107.5 102.9 125.6 107.5 108.8 128.4 121.1 119.5 128.7 108.7 105.5 119.8 111.3 110.6 120.1 97.5 107.7 127.3 117.2 119.8 116.2 111 112.4 130.6 109.1 118.8 123.9 101.6 112.8 128 129.6 125.8 119.5 115.7 113.6 129.7 112 116.8 127 112.1 114.2 121.1 131.6 125 120.4 117.7 117.5 120.6 127.5 112.3 124.5 115.2 105.4
Sample Range:
(leave blank to include all observations)
From:
To:
xgridsize
ygridsize
xbandwidth
(zero to use default)
ybandwidth
(zero to use default)
correlation
(zero to use actual correlation)
display contours
(Y/N)
Y
Y
N
display data points
(Y/N)
Y
Y
N
colors
terrain.colors
rainbow
heat.colors
topo.colors
cm.colors
Chart options
Title:
Label y-axis:
Label x-axis:
R Code
par1 <- as(par1,'numeric') par2 <- as(par2,'numeric') par3 <- as(par3,'numeric') par4 <- as(par4,'numeric') par5 <- as(par5,'numeric') library('GenKern') 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 bitmap(file='bidensity.png') 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)) abline(r) box() dev.off() load(file='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='mytable.tab')
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Computing time
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R Server
Big Analytics Cloud Computing Center
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