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Data X:
6.7 6.3 5.9 6 6.3 6.8 6.4 6.3 6.7 6.7 6.9 7 6.2 6.3 6.8 6.8 6.8 6.2 6.6 6.8 6.5 6.4 6.3 5.9 5.7 6 6.1 5.7 5.8 5.8 5.8 5.3 5.3 5.3 5.2 5.4 6.2 6.9 7.1 7.5 7.6 8.4 8.1 9.1 9.8 9.9 9.4 9.5 8.8 7.2 6.7 6.1 5.9 4.6 4.7 3.8 3 2.3 3.3 3
Data Y:
12.3 14.6 17.7 15.2 22.3 14.8 10 2.9 5.6 16.1 23.7 26.5 20.9 15.9 13 7.8 17.5 24.4 33.7 32.3 33.4 22.2 21.7 12.8 15.2 17.1 17.6 17.5 14.7 12.9 12 11.1 12.3 18.9 24 29.6 30.9 33 34.9 40.1 30.8 31 23.8 30.8 27.6 30.2 22.2 19.9 18.3 15.2 10.1 6.5 1.9 2 4.3 4.8 4.9 2.1 5.5 10.6
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')
Compute
Summary of computational transaction
Raw Input
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Raw Output
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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