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Data X:
21 26 22 22 18 23 12 20 22 21 19 22 15 20 19 18 20 21 15 16 23 21 18 25 9 23 16 16 19 25 25 18 23 21 10 22 26 23 23 24 24 23 15 16 19 18 27 13 28 23 21 19 19 18 19 17 25 19 26 14 28 16 20 24 23 22 21 25 27 23 23 18 18 23 19 15 20 16 25 25 19 19 16 19 19 23 21 22 19 20 3 23 14 23 20 15 13 16 7 24 17 24 24 19 28 23 19 23 25 25 20 16 20 25 25 23 17 20 16 23 12 24 11 14 23 18 29 16 19 16 23 19 4 20 20 4 24 16 3 24 23 17 20 22 19 24 19 27 22 23 22 17 23 23 28 29 21 24 20 7 19 28 26 19 20 23 24 16 19 24 21 16 16 21 NA 28 16 23 26 29 18 19 19 16 16 16 18 22 14 20 15 22 16 15 11 15 20 21 16 17 15 16 18 25 20 24 28 22 20 27 17 22 23 22 13 19 15 20 24 18 19 15 20 13 23 24 23 19 20 22 25 26 24 27 16 15 25 27 23 21 14 24 16 22 13 17 23 22 23 26 14 24 21 16 11 NA 19 16 19 16 11 23 27 23 25 24 22 26 19 19 19 20 16
Data Y:
18 23 23 22 22 19 25 28 16 28 21 22 24 24 26 28 20 26 28 27 23 24 24 22 21 21 26 23 21 27 27 25 23 25 23 22 24 19 21 27 25 23 17 25 24 20 19 21 18 27 25 20 21 27 24 27 23 24 22 27 24 25 24 23 22 24 19 25 24 28 23 19 19 27 24 26 21 25 19 20 26 27 23 18 23 21 23 22 21 24 26 24 26 22 20 20 20 18 18 25 28 23 20 22 23 20 24 18 23 21 19 19 25 18 22 5 24 28 27 23 24 25 19 14 24 28 19 23 23 26 25 24 23 22 26 23 22 22 17 22 21 26 24 27 22 23 22 20 27 20 23 16 25 15 25 22 19 22 24 10 24 23 22 24 23 27 28 21 23 25 23 22 23 22 27 24 24 20 19 23 21 27 19 25 25 24 26 21 22 26 20 21 28 25 27 18 14 25 23 24 19 19 23 23 20 23 22 23 22 21 22 26 24 24 26 26 22 27 24 23 24 11 25 19 25 28 18 23 24 25 24 21 19 25 23 25 26 18 22 22 18 25 21 19 21 22 27 23 21 26 28 28 21 24 28 21 26 20 19 23 26 19 15 27 26 25 26 24 25 23 19 19 28
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') x <- x[!is.na(y)] y <- y[!is.na(y)] y <- y[!is.na(x)] x <- x[!is.na(x)] 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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