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Data X:
11.04 11.02 11.03 11.17 11.19 11.15 11.13 11.06 11.01 11.03 10.99 10.94 11.00 11.06 11.06 11.05 11.04 11.15 11.20 11.16 11.30 11.23 11.25 11.25 11.12 11.14 11.17 11.25 11.27 11.34 11.39 11.44 11.46 11.49 11.51 11.48 11.49 11.52 11.56 11.58 11.58 11.58 11.60 11.62 11.62 11.64 11.67 11.66 11.72 11.82 11.90 12.04 12.08 12.15 12.19 12.22 12.23 12.25 12.26 12.27 12.34 12.38 12.42 12.43 12.48 12.50 12.50 12.49 12.46 12.45 12.45 12.38 12.42
Data Y:
25.00 25.09 25.03 25.21 25.33 25.23 25.13 25.03 25.03 25.15 25.18 24.90 25.18 25.25 25.28 25.32 25.27 25.22 25.14 25.41 25.72 25.66 25.65 25.27 23.90 24.06 24.33 24.39 24.39 24.49 24.83 25.08 25.11 25.13 25.17 25.11 25.35 25.36 25.35 25.34 25.39 25.58 25.71 25.66 25.74 25.73 25.72 25.55 25.71 25.92 25.93 26.00 26.02 26.08 26.17 26.18 26.21 26.28 26.34 26.17 26.38 26.36 26.27 26.26 26.49 26.99 27.14 27.10 27.01 26.93 26.97 26.35 26.93
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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Summary of computational transaction
Raw Input
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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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