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Data X:
125 121.7 134.3 124.3 119.1 137.8 120.5 122.7 127.2 133.2 136.3 134.9 120.9 109.4 129.6 124.7 114.6 137.4 117.9 117.4 122 124.8 123.3 132.8 115.1 104.2 125.5 116.8 116.8 125.5 110.9 114.9 136.4 125.8 126.5 134 116.1 115 130.3 106.5 111.6 125 108.3 105 127.4 116.6 128.6 127.5 108.4 110.8 114.2 101.8 109.8 115.9 106.9 114.6 105.4 108.1 118.4 112.7 98.4 99.6 103.9 101.5 100.8 104.5 98.2 99.9 97.5 105.7 117.7 107.4 98.4 92 107.7 100.2 96.7 106.8 98 98.6
Data Y:
115.9 112.9 126.3 116.8 112 129.7 113.6 115.7 119.5 125.8 129.6 128 112.8 101.6 123.9 118.8 109.1 130.6 112.4 111 116.2 119.8 117.2 127.3 107.7 97.5 120.1 110.6 111.3 119.8 105.5 108.7 128.7 119.5 121.1 128.4 108.8 107.5 125.6 102.9 107.5 120.4 104.3 100.6 121.9 112.7 124.9 123.9 102.2 104.9 109.8 98.9 107.3 112.6 104 110.6 100.8 103.8 117 108.4 95.5 96.9 103.9 101.1 100.6 104.3 98 99.5 97.4 105.6 117.5 107.4 97.8 91.5 107.7 100.1 96.6 106.8 98 98.6
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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Raw Output
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Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
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