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Data X:
34 33 29 34 32 35 41 27 40 40 36 40 43 40 33 37 32 26 36 39 38 34 35 41 42 36 39 33 33 36 37 36 34 32 35 39 30 25 29 39 31 26 28 40 32 35 32 41 34 36 38 34 32 34 32 40 43 35 45 36 39 31 36 36 37 40 35 36 32 36 37 42 37 36 36 33 37 35 37 28 33 45 38 43 37 36 40 39 43 32 37 34 44 35 34 37 40 36 44 35 34 40 34 39 36 40 37 35 45 39 39 37 38 46 37 27 33 42 33 33 33 38 37 35 33 39 38 39 38 30 43 34 39 36 32 37 42 40 35 39 34 28 30 36 31 34 33 37 40 39 42 47 38 38 40 37 29 37 37 33 31 36 37 39 35 33 37 42 31 32 36 32 40 32 30 37 42 37 47 37 31 41 44 40 37 33 35 40 38 36 36 35 30 37 43 33 39 38 40 29 35 37 26 28 38 29 35 38 39 44 33 35 42 30 36 40 39 36 37 37 37 36 30 32 35 42 41 35 33 39 34 39 41 34 30 29 33 40 32 37 37 36 41 34 38 40 42 32 40 38 35 34 38 24 39 42 44 35 37 34 41 33 42 30 30 40 49 39 29 39 35 35 34 24 47 24 30 34 41 32 32 35 37 40 45 35 39 46 33 40 35 38 36 34 30 44 37 36 37 34 43 31 34 38 38 34 26 36 35 37 40 43 29 30 36 38 43 41 31 36 44 35 42 31 38 34 40 41 30 43
Data Y:
30 28 31 35 35 37 39 31 38 37 37 35 37 42 28 37 36 37 33 40 30 36 33 40 37 37 39 35 36 34 36 32 33 27 37 32 31 31 32 37 25 30 37 37 40 35 35 43 32 42 35 27 30 31 36 36 41 34 36 33 35 28 33 38 37 39 34 32 36 36 35 33 42 36 33 36 32 35 38 33 32 38 39 39 39 30 38 38 42 41 31 39 40 31 34 23 28 36 41 29 31 33 35 35 34 40 34 36 35 39 33 37 40 32 37 27 35 37 32 31 31 38 34 30 34 37 38 33 35 27 34 35 39 35 34 36 36 32 39 40 35 31 35 38 37 31 32 35 39 31 39 48 33 36 40 37 34 42 39 28 26 30 30 39 37 40 38 35 33 34 33 41 36 27 33 38 31 31 46 33 34 47 36 38 32 33 34 34 37 37 41 27 31 38 30 36 30 34 32 29 29 39 32 30 39 30 40 41 38 37 33 34 36 39 41 42 38 40 32 40 37 36 28 36 35 32 38 32 39 39 31 33 46 38 24 28 35 39 37 38 38 32 36 28 38 28 37 28 40 34 33 32 30 33 37 39 42 36 35 32 35 33 36 31 32 38 46 39 31 39 36 37 33 22 42 28 28 31 36 37 35 31 37 38 46 40 43 49 39 37 36 31 32 38 37 36 21 32 36 35 39 28 42 36 41 30 18 37 28 39 40 44 26 34 37 37 32 29 31 32 44 39 39 35 36 33 35 35 30 38
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
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
1 seconds
R Server
Big Analytics Cloud Computing Center
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