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Data X:
24 25 30 19 22 22 25 23 17 21 19 19 15 16 23 27 22 14 22 23 23 21 19 18 20 23 25 19 24 22 25 26 29 32 25 29 28 17 28 29 26 25 14 25 26 20 18 32 25 25 23 21 20 15 30 24 26 24 22 14 24 24 24 24 19 31 22 27 19 25 20 21 27 23 25 20 21 22 23 25 25 17 19 25 19 20 26 23 27 17 17 19 17 22 21 32 21 21 18 18 23 19 20 21 20 17 18 19 22 15 14 18 24 35 29 21 25 20 22 13 26 17 25 20 19 21 22 24 21 26 24 16 23 18 16 26 19 21 21 22 23 29 21 21 23 27 25 21 10 20 26 24 29 19 24 19 24 22 17
Data Y:
14 18 11 12 16 18 14 14 15 15 17 19 10 16 18 14 14 17 14 16 18 11 14 12 17 9 16 14 15 11 16 13 17 15 14 16 9 15 17 13 15 16 16 12 12 11 15 15 17 13 16 14 11 12 12 15 16 15 12 12 8 13 11 14 15 10 11 12 15 15 14 16 15 15 13 12 17 13 15 13 15 16 15 16 15 14 15 14 13 7 17 13 15 14 13 16 12 14 17 15 17 12 16 11 15 9 16 15 10 10 15 11 13 14 18 16 14 14 14 14 12 14 15 15 15 13 17 17 19 15 13 9 15 15 15 16 11 14 11 15 13 15 16 14 15 16 16 11 12 9 16 13 16 12 9 13 13 14 19
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
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')
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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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