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Data X:
23 24 22 20 24 27 28 27 24 23 24 27 27 28 27 23 24 28 27 25 19 24 20 28 26 23 23 20 11 24 25 23 18 20 20 24 23 25 28 26 26 23 22 24 21 20 22 20 25 20 22 23 25 23 23 22 24 25 21 12 17 20 23 23 20 28 24 24 24 24 28 25 21 25 25 18 17 26 28 21 27 22 21 25 22 23 26 19 25 21 13 24 25 26 25 25 22 21 23 25 24 21 21 25 22 20 20 23 28 23 28 24 18 20 28 21 21 25 19 18 21 22 24 15 28 26 23 26 20 22 20 23 22 24 23 22 26 23 27 23 21 26 23 21 27 19 23 25 23 22 22 25 25 28 28 20 25 19 25 22 18 20
Data Y:
17 17 18 21 20 28 19 22 16 18 25 17 14 11 27 20 22 22 21 23 17 24 14 17 23 24 24 8 22 23 25 21 24 15 22 21 25 16 28 23 21 21 26 22 21 18 12 25 17 24 15 13 26 16 24 21 20 14 25 25 20 22 20 26 18 22 24 17 24 20 19 20 15 23 26 22 20 24 26 21 25 13 20 22 23 28 22 20 6 21 20 18 23 20 24 22 21 18 21 23 23 15 21 24 23 21 21 20 11 22 27 25 18 20 24 10 27 21 21 18 15 24 22 14 28 18 26 17 19 22 18 24 15 18 26 11 26 21 23 23 15 22 26 16 20 18 22 16 19 20 19 23 24 25 21 21 23 27 23 18 16 16
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 if (par8 == 'terrain.colors') mycol <- terrain.colors(100) if (par8 == 'rainbow') mycol <- rainbow(100) if (par8 == 'heat.colors') mycol <- heat.colors(100) if (par8 == 'topo.colors') mycol <- topo.colors(100) if (par8 == 'cm.colors') mycol <- cm.colors(100) bitmap(file='bidensity.png') op <- KernSur(x,y, xgridsize=par1, ygridsize=par2, correlation=par5, xbandwidth=par3, ybandwidth=par4) image(op$xords, op$yords, op$zden, col=mycol, axes=TRUE,main=main,xlab=xlab,ylab=ylab) if (par6=='Y') contour(op$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
0 seconds
R Server
Big Analytics Cloud Computing Center
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