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Data X:
30 17 24 20 25 20 27 18 28 21 27 22 28 25 21 22 28 20 29 20 20 23 18 18 19 25 25 25 24 19 26 10 17 13 17 30 4 16 21 22 20 22 23 16 0 18 25 18 18 24 29 15 22 23 24 22 15 17 20 27 26 23 23 15 26 22 18 15 22 27 10 20 17 23 19 13 27 23 16 25 2 26 20 22 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
Data Y:
16.6 12.6 18.9 11.6 14.6 13.85 14.85 11.75 18.45 15.9 19.9 10.95 18.45 15.1 15 11.35 15.95 18.1 14.6 17.6 15.35 13.4 13.9 15.25 12.9 16.1 17.35 13.15 12.15 12.6 10.35 15.4 9.6 18.2 13.6 14.85 14.1 14.9 16.25 13.6 15.65 14.6 12.65 11.9 19.2 16.6 11.2 13.2 15.85 11.15 15.65 7.65 15.2 15.6 13.1 11.85 12.4 11.4 14.9 19.9 11.2 14.6 14.75 15.15 16.85 7.85 12.6 7.85 10.95 12.35 9.95 14.9 16.65 13.4 13.95 15.7 16.85 10.95 15.35 12.2 15.1 17.75 15.2 16.65 8.1 4.35 12.7 18.1 17.85 17.1 19.1 16.1 13.35 18.4 14.7 10.6 12.6 16.2 13.6 14.1 14.5 16.15 14.75 14.8 12.45 12.65 17.35 8.6 18.4 16.1 17.75 15.25 17.65 15.6 16.35 17.65 13.6 11.7 14.35 14.75 18.25 9.9 16 18.25 16.85 18.95 15.6 17.1 16.1 15.4 15.4 13.35 19.1 7.6 19.1 14.75 19.25 13.6 12.75 9.85 15.25 11.9 16.35 12.4 14.35 18.15 17.75 12.35 15.6 19.3 17.1 18.4 19.05 18.55 19.1 12.85 9.5 4.5 13.6 11.7 13.35 17.75 17.6 14.05 16.1 13.35 11.85 11.95 13.2 7.7 14.6
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') 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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