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Data X:
17 20 16 16 13 16 19 18 18 20 17 13 22 18 20 19 18 19 18 19 18 14 20 14 25 22 16 17 19 16 25 18 24 19 18 13 16 20 16 17 16 17 17 16 18 17 11 14 16 19 15 17 18 17 14 20 21 17 17 20 16 19 19 17 17 17 24 15 20 21 20 17 19 17 21 17 16 15 21 18 16 17 19 18 15 17 17 18 18 19 19 25 17 16 18 18 19 19 18 20 20 20 22 19 17 20 22 19 16 20 19 13 18 17 17 22 22 17 19 16 19 19 20 17 19 17 20 12 17 17 17 17 18 18 16 16 19 15 19 18 21 18 18 18 21 17 14 17 17 19 16 20 14 22 25 17 12 16 16
Data Y:
10 6 13 12 8 6 10 10 9 9 7 5 14 8 6 10 10 7 10 8 6 13 10 12 7 15 8 10 9 13 8 11 7 9 10 8 15 9 7 11 9 8 8 12 12 13 9 9 7 11 8 10 13 12 12 9 8 9 12 12 16 11 13 10 9 14 13 12 9 9 10 8 9 9 11 12 7 11 9 11 9 8 9 8 9 10 9 10 11 17 7 11 9 10 11 8 12 10 7 9 7 12 8 13 9 15 8 9 14 14 9 13 11 10 6 8 10 10 10 10 12 10 9 9 11 7 7 5 9 11 15 9 9 9 8 13 10 13 9 11 9 8 10 9 8 8 13 12 8 11 8 12 15 11 11 10 5 11 12
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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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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