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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:
26.56 20.16 30.24 18.56 23.36 22.16 23.76 18.8 29.52 25.44 31.84 17.52 29.52 24.16 24 18.16 25.52 28.96 23.36 28.16 24.56 21.44 22.24 24.4 20.64 25.76 27.76 21.04 19.44 20.16 16.56 24.64 15.36 29.12 21.76 23.76 22.56 23.84 26 21.76 25.04 23.36 20.24 19.04 30.72 26.56 17.92 21.12 25.36 17.84 25.04 12.24 24.32 24.96 20.96 18.96 19.84 18.24 23.84 31.84 17.92 23.36 23.6 24.24 26.96 12.56 20.16 12.56 17.52 19.76 15.92 23.84 26.64 21.44 22.32 25.12 26.96 17.52 24.56 19.52 24.16 28.4 24.32 26.64 12.96 6.96 20.32 28.96 28.56 27.36 30.56 25.76 21.36 29.44 23.52 16.96 20.16 25.92 21.76 22.56 23.2 25.84 23.6 23.68 19.92 20.24 27.76 13.76 29.44 25.76 28.4 24.4 28.24 24.96 26.16 28.24 21.76 18.72 22.96 23.6 29.2 15.84 25.6 29.2 26.96 30.32 24.96 27.36 25.76 24.64 24.64 21.36 30.56 12.16 30.56 23.6 30.8 21.76 20.4 15.76 24.4 19.04 26.16 19.84 22.96 29.04 28.4 19.76 24.96 30.88 27.36 29.44 30.48 29.68 30.56 20.56 15.2 7.2 21.76 18.72 21.36 28.4 28.16 22.48 25.76 21.36 18.96 19.12 21.12 12.32 23.36
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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