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Data X:
11 8 12 10 7 6 8 16 8 16 7 11 16 16 12 13 19 7 8 12 13 11 8 16 15 11 12 7 9 15 6 14 14 7 15 14 17 14 5 14 8 8 13 14 16 11 10 10 10 8 14 14 12 13 5 10 6 15 12 16 15 12 8 14 14 13 12 15 8 16 14 13 15 7 5 7 13 14 14 13 11 15 13 14 13 9 8 6 13 16 7 11 8 13 5 8 10 9 16 4 4 11 14 15 17 10 15 11 15 10 9 14 15 9 12 10 16 15 14 12 15 9 12 15 6 4 8 10 6 12 14 11 15 13 15 16 4 15 12 15 15 14 14 14 11
Data Y:
11 12 15 10 12 11 5 16 11 15 12 9 11 15 12 16 14 11 10 7 11 10 11 16 14 12 12 11 6 14 9 15 12 12 9 13 15 11 10 13 16 13 14 14 16 9 8 8 12 10 16 13 11 14 15 8 9 17 9 13 6 13 8 12 13 14 11 15 7 16 16 14 11 13 13 7 15 11 15 13 11 12 10 12 12 12 14 6 14 15 8 12 10 15 11 9 14 10 16 5 8 13 16 16 14 14 10 9 14 8 8 16 12 9 15 12 14 12 16 12 14 8 15 16 12 4 8 11 4 14 14 13 14 7 19 12 10 14 16 11 16 12 12 16 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')
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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