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Data X:
0.59 0.6 0.59 0.6 0.61 0.56 0.53 0.52 0.52 0.47 0.5 0.51 0.54 0.54 0.56 0.58 0.57 0.59 0.61 0.67 0.66 0.68 0.68 0.74 0.76 0.87 0.92 0.93 0.81 0.79 0.71 0.62 0.5 0.47 0.45 0.41 0.45 0.46 0.5 0.48 0.53 0.5 0.5 0.53 0.52 0.57 0.54 0.59 0.64 0.65 0.64 0.62 0.63
Data Y:
17.0 20.5 17.4 11.2 10.3 6.7 2.5 0.1 2.9 9.7 11.3 15.8 19.4 18.7 16.5 14.4 12.5 6.7 3.6 0.7 2.8 6.9 10.5 14.0 17.6 18.0 16.1 16.4 9.3 6.3 6.1 6.5 4.1 6.8 10.4 14.1 17.2 17.2 17.5 14.6 14.3 8.0 6.8 7.2 5.9 9.1 14.2 18.4 16.3 23.0 17.3 14.2 9.3
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
N
display data points
(Y/N)
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
0 seconds
R Server
Big Analytics Cloud Computing Center
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